Abstract
We characterise rectifiable subsets of a complete metric space X in terms of local approximation, with respect to the Gromov–Hausdorff distance, by an ndimensional Banach space. In fact, if \(E\subset X\) with \({\mathcal {H}}^n(E)<\infty \) and has positive lower density almost everywhere, we prove that it is sufficient that, at almost every point and each sufficiently small scale, E is approximated by a biLipschitz image of Euclidean space. We also introduce a generalisation of Preiss’s tangent measures that is suitable for the setting of arbitrary metric spaces and formulate our characterisation in terms of tangent measures. This definition is equivalent to that of Preiss when the ambient space is Euclidean, and equivalent to the measured Gromov–Hausdorff tangent space when the measure is doubling.
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1 Introduction
A set \(E\subset {\mathbb {R}}^m\) is nrectifiable if it can be covered, up to a set of \({\mathcal {H}}^n\) measure zero, by countably many Lipschitz images of \({\mathbb {R}}^n\) (throughout this paper, \({\mathcal {H}}^n\) denotes the ndimensional Hausdorff measure). Rademacher’s theorem implies that an nrectifiable \(E\subset {\mathbb {R}}^m\) with \({\mathcal {H}}^n(E)<\infty \) has a unique ndimensional approximate tangent plane at \({\mathcal {H}}^n\)a.e. \(x\in E\): an ndimensional affine subspace \(W\ni x\) such that, for each \(r>0\), there exists \(E_r\subset E\cap B(x,r)\) with
and
as \(r\rightarrow 0\). Here \(d_{\mathrm {H}}\) denotes the Hausdorff distance between two subsets of \({\mathbb {R}}^m\). A central concept of geometric measure theory is to understand sufficient conditions for rectifiability in terms of local approximations by tangent planes.
The simplest such result is the converse to the above statement: if \(E\subset {\mathbb {R}}^m\) with \({\mathcal {H}}^n(E)<\infty \), the existence of an ndimensional approximate tangent plane at \({\mathcal {H}}^n\)a.e. point implies that E is nrectifiable (see [1, Theorem 15.19]). A result of Marstrand [2] (for \(n=2\) and \(m=3\)) significantly strengthens this by allowing the approximating affine subspace W to depend on r — the approximating tangent plane may “rotate” as one zooms into E — under the additional assumption of the positive lower Hausdorff density of E (see (1) below). This was later generalised by Mattila [3] to all higher dimensions. The case of \(n=1\) is addressed in the work of Besicovitch [4]. This much stronger result is crucial for many results in geometric measure theory, such as the density theorems of Marstrand [2], Mattila [3] and Preiss [5].
Analogously, the work of David and Semmes [6] characterises uniform rectifiability in terms of good approximation by (rotating) tangents in the form of Jones’s beta numbers [7]. Tolsa and Azzam [8, 9] provide similar results for measures.
Recently there has been significant interest in studying analysis on metric spaces. Inevitably, such study leads to questions regarding the geometric nature of rectifiable subsets of a metric space. For a metric space X, \(E\subset X\) is nrectifiable if it can be covered, up to a set of \({\mathcal {H}}^n\) measure zero, by countably many Lipschitz images of subsets of \({\mathbb {R}}^n\). Kirchheim [10] gives a precise description of the local structure of rectifiable subsets of a metric space analogous to the description granted by Rademacher’s theorem. From this description it is possible to deduce the existence of a tangent structure of a rectifiable metric space akin to an approximate tangent plane after two modifications.
Firstly, one must replace the Hausdorff distance \(d_{\mathrm {H}}\) with the Gromov–Hausdorff distance \(d_{\mathrm {GH}}\). Two metric spaces \(M_1\) and \(M_2\) satisfy
if there exist a metric space Z and isometric embeddings \(\iota _i:M_i\rightarrow Z\), \(i=1,2\), such that
(see Definition 2.15 for a modification that is more suitable for unbounded metric spaces). Secondly, the affine subspace must be replaced by an ndimensional Banach space; the tangent space may not be equipped with the Euclidean norm.
The question of whether an \(E\subset X\) with approximate tangent planes defined in this way is rectifiable has existed since the work of Kirchheim. More recently, this question appeared in the work of Ambrosio, Brué and Semola [11] when studying sets of finite perimeter in RCD metric spaces. To date the question is unknown for any ambient metric space that is not a Euclidean space (in this case \(d_{\mathrm {GH}}\) can be replaced by \(d_{\mathrm {H}}\) in (3) and so the statement is equivalent to the results of Marstrand and Mattila), even if all of the tangent spaces are assumed to be a fixed ndimensional Banach space.
In this paper we answer this question affirmatively. In fact we prove the following stronger result. For \(K\ge 1\) let \({\text {biLip}}(K)\) be the set of metric spaces \(Y=({\mathbb {R}}^n,\rho )\) such that \(\rho \) is KbiLipschitz equivalent to the Euclidean norm, that is
Rather than requiring local approximation by a fixed ndimensional Banach space, we allow approximation by an element of \({\text {biLip}}(K)\) that is allowed to depend on the scale.
Theorem 1.1
Let (X, d) be a complete metric space, \(n\in {\mathbb {N}}\) and let \(E\subset X\) be \({\mathcal {H}}^n\)measurable with \({\mathcal {H}}^n(E)<\infty \) and
Suppose that, for \({\mathcal {H}}^n\)a.e. \(x\in E\), there exist \(K_x\ge 1\) and, for each \(r>0\), a \(Y_r\in {\text {biLip}}(K_x)\) and \(E_r\subset E \cap B(x,r)\) such that
and
as \(r\rightarrow 0\). Then E is nrectifiable.
Note that even in the case that X is a Euclidean space, Theorem 1.1 is new since it allows for local approximation by biLipschitz images of \({\mathbb {R}}^n\).
There is a more subtle aspect in which Theorem 1.1 is stronger than the results of Marstrand and Mattila. Since our notion of a tangent space is defined via Gromov–Hausdorff convergence, we do not rely on any structure of the ambient metric space X. On the other hand, the proof of Marstrand crucially relies on tangents that are affine subspaces of \({\mathbb {R}}^m\). In particular, Marstrand’s proof fails for tangents that are isometric copies of \({\mathbb {R}}^2\) when \(X=({\mathbb {R}}^3,\Vert \cdot \Vert _\infty )\). However, we note that for the special case \(n=1\), the idea of Besicovitch can be modified to work in any metric space; an account of this will appear in [12].
The use of Gromov–Hausdorff tangents may be considered as a further weakening of the concept of the rotating tangent plane. Such a framework is necessary when working in this generality; Even if we assume X is a Banach space, it is not possible to define an approximate tangent plane using ambient linear structure. For example consider
which is an isometric copy of [0, 1] but does not have an approximate tangent plane at any point.
The results of Marstrand and Mattila are a starting point for the work of Preiss [5]. It is natural to consider generalisations of Preiss’s tangent measures when investigating results like Theorem 1.1. Recall that a nonzero Radon measure \(\nu \) on \({\mathbb {R}}^m\) is a tangent measure to another Radon measure \(\mu \) at \(x\in {\text {spt}}\mu \) if there exist \(r_i\rightarrow 0\) such that the pushforwards of \(\mu \) under the maps \(y\mapsto (yx)/r\), scaled by \(1/\mu (B(x,r_i))\), weak* converge to \(\nu \).
To define a tangent measure of a measure \(\mu \) on a metric space X, one requires a definition of a limit of a sequence of pointed metric measure spaces. In this paper, a pointed metric measure space \((X,d,\mu ,x)\) will consist of a metric space (X, d), a Borel measure \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\) (that is, \(\mu \) is finite on bounded sets), and a distinguished point \(x\in {\text {spt}}\mu \). Given some notion of convergence of pointed metric measure spaces, we can define a tangent of a metric measure space \((X,d,\mu ,x)\) as any metric measure space \((Y,\rho ,\nu ,y)\) for which there exist \(r_i\rightarrow 0\) such that
One such notion of convergence is measured Gromov–Hausdorff convergence and the resulting tangent spaces are known as measured Gromov–Hausdorff tangents. This convergence can be metrised similarly to the Gromov–Hausdorff distance: In addition to taking the Hausdorff distance between the metric spaces embedded in Z, one also considers the distance between the pushforwards of the measures, using some canonical metric that metrises weak* convergence in Z. We construct one such metrisation of measured Gromov–Hausdorff convergence, \(d_{\mathrm {pmGH}}\), in Definition 4.1.
However, the requirement that the underlying metric spaces must Gromov–Hausdorff converge is too rigid to study rectifiable sets. Indeed, it is easy to find examples of rectifiable metric spaces with no tangent measures according to this definition (see Example 4.8). Instead, we define a metric, \(d_{*}\), that only considers the distance between the pushforwards of the measures in Z and disregards the Hausdorff distance between the embedded metric spaces (this will be discussed further below). We write \({\text {Tan}}(X,d,\mu ,x)\) for the set of all tangent measures to \((X,d,\mu ,x)\) defined using \(d_{*}\) and (4).
Our main result on tangent measures is the following. For \(K\ge 1\) let \({\text {biLip}}(K)^*\) be the set of all pointed metric measure spaces that are supported on an element of \({\text {biLip}}(K)\).
Theorem 1.2
Let (X, d) be a complete metric space, \(n\in {\mathbb {N}}\) and let \(E\subset X\) be \({\mathcal {H}}^n\)measurable with \({\mathcal {H}}^n(E)<\infty \). The following are equivalent:

1.
E is nrectifiable;

2.
For \({\mathcal {H}}^n\)a.e. \(x\in E\), \(\Theta _*^n(E,x)>0\) and there exists an ndimensional Banach space \(({\mathbb {R}}^n,\Vert .\Vert _x)\) such that
$$\begin{aligned} {\text {Tan}}(X,d,{\mathcal {H}}^n\vert _E,x)=\{({\mathbb {R}}^n,\Vert .\Vert _x,{\mathcal {H}}^n/2^n,0)\}. \end{aligned}$$ 
3.
For \({\mathcal {H}}^n\)a.e. \(x\in E\), \(\Theta ^n_*(E,x)>0\) and there exists a \(K_x\ge 1\) such that \({\text {Tan}}(X,d,{\mathcal {H}}^n \vert _E,x) \subset {\text {biLip}}(K_x)^*\).
Once Theorem 1.1 is established, the main steps to proving Theorem 1.2 are to develop the properties of \(d_{*}\) and the properties of tangent measures.
The proof of Theorem 1.1 follows from the combination of two results, Theorem 3.4 and Corollary 6.4. Roughly speaking, Theorem 3.4 shows that, under the hypotheses of Theorem 1.1, for \({\mathcal {H}}^n\)a.e. \(x\in E\), the following is true: for any \(\epsilon >0\) and any sufficiently small \(r>0\), there exists a metric space \({\tilde{E}} \supset E\) and a continuous (in fact Hölder) map \(\iota :[0,r]^n\rightarrow {\tilde{E}}\) such that \(\iota \vert _{\partial [0,r]^n}\) is close to having Lipschitz inverse and
Here \({\mathcal {H}}^n_\infty \) denotes the ndimensional Hausdorff content.
Corollary 6.4 is a consequence of a theorem of [13] (see Theorem 6.3). This theorem can be viewed as a replacement for the Besicovitch–Federer projection theorem that is valid in any complete metric space. It considers 1Lipschitz “nonlinear” projections in place of orthogonal projections. Corollary 6.4 states that any \(E\subset X\) for which each \(E'\subset E\) satisfies the conclusion of Theorem 3.4 is nrectifiable. Note that the hypotheses of Theorem 1.1 are inherited by any subset (by Lemma 2.3).
The construction of Theorem 3.4 is the central result of the paper. Naturally, the idea is to take a set \(G\subset E\) for which the approximations given by (3) are in some sense uniform and “glue” together the approximating tangent planes to construct the Hölder surface. Of course, following this approach, one will eventually encounter points in \(E\setminus G\) where we halt the gluing process and we begin to define \({\tilde{E}}\setminus G\). Therefore, at every step of the construction, it is crucial to control the size of the set of points we encounter in \(E\setminus G\) to establish (5). The details of this construction are discussed further in Sect. 3.
We will see that the basic theory of tangent measures in our setting follows analogously to Preiss’s tangent measures, once the properties of \(d_{*}\) are established.
There are several equivalent ways to define convergence of metric measure spaces that considers only the convergence of measures and not the Gromov–Hausdorff convergence of the metric spaces: one simply has to decide upon a way to metrise weak* convergence in the metric space Z. Sturm [14] first considered the \(L_2\) transportation distance between probability measures with finite variance. Greven, Pfaffelhuber, and Winter [15] consider the Prokhorov metric between probability measures on compact metric spaces. Gigli, Mondino and Savaré [16] simply define \((X_i,d_i,\mu _i,x_i)\rightarrow (X,d,\mu ,x)\), for \(\mu _i,\mu \ne 0\), if there exist isometric embeddings into Z such that \(x_i\rightarrow x\) and \(\mu _i\) weak* converges to \(\mu \).
To define \(d_{*}\), we first define a metric \(F\) between \(\mu ,\nu \in {\mathcal {M}}_{\mathrm {loc}}(Z)\) by duality with Lipschitz functions. A common approach for finite measures is to consider the metric \(F^1\) defined as the dual norm to the set of 1Lipschitz functions on Z. It is well known that \(F^1\) contains geometric information on the support of \(\mu ,\nu \). One can define a metric between \(\mu \) and \(\nu \) by taking the infimal \(\epsilon >0\) for which
for some fixed \(z\in Z\). Taking this idea further, we let \(F^{\epsilon }\) be the dual norm of the set of \(1/\epsilon \)Lipschitz functions, and define \(F\) by replacing \(F^1\) with \(F^\epsilon \) in (6) (see Definition 2.12). Then from \(F\) one precisely obtains the Hausdorff distance between two large subsets of the supports of \(\mu \) and \(\nu \) (see Lemma 4.10). Consequently, by defining \(d_{*}\) using \(F\) to metrise weak* convergence in \({\mathcal {M}}_{\mathrm {loc}}(Z)\), we obtain an explicit relationship between \(d_{*}\) and the \(d_{\mathrm {pmGH}}\) distance between two large subsets (see Theorem 4.11). This allows us to use standard Gromov–Hausdorff techniques and Prokhorov’s theorem to develop the theory of \(d_{*}\).
However, we do not introduce \(d_{*}\) as a new notion of convergence. Indeed, it is equivalent to any of the previously mentioned notions whenever the latter is defined: they all correspond to weak* convergence in Z (see Remark 4.14). Rather, we use it as another, convenient description of the established notions.
Note that \({\text {Tan}}({\mathbb {R}}^n,\Vert \cdot \Vert _2,\mu ,x)\) agrees with (isometry classes of) Preiss’s tangent measures. Also, for a sequence of uniformly doubling spaces, convergence in \(d_{*}\) is equivalent to measured Gromov–Hausdorff convergence (by [16, Theorem 3.33] or Corollary 4.18). Consequently, tangent measures of doubling metric measure spaces are precisely measured Gromov–Hausdorff tangents.
To conclude the introduction we discuss results related to this work.
Assuming a set \(E\subset {\mathbb {R}}^m\) has uniform approximation by tangents that are isomorphic copies of \({\mathbb {R}}^n\), a classical construction of Reifenberg [17] constructs a locally biHölder parametrisation of E by an ndimensional ball. This has been generalised by David and Toro [18], using Gromov–Hausdorff tangents, to any metric space. Such a parametrisation can be used to obtain the map \(\iota \) in Theorem 3.4 and in fact one may take \({\tilde{E}}=E\). However, these assumptions are too strong for our situation: they do not allow the exclusion of sets of small measure as in (2) and the convergence in (3) is not uniform in x. Moreover, one cannot deduce that such a map exists for subsets of E and so cannot use Corollary 6.4 to deduce rectifiability.
Relationships between tangent spaces and parametrising maps have been explored in specific nonEuclidean metric spaces such as the Heisenberg group (or other Carnot groups) [19, 20]. In this case, the additional structure of a particular ambient metric space such as the Heisenberg group enables one to define a much stronger notion of a tangent than a Gromov–Hausdorff tangent.
The outline of the paper is as follows.
In Sect. 2 we recall preliminary notions of geometric measure theory and properties of doubling measures. In Sect. 2.3 we recall facts about weak* convergence of measures in metric spaces and define \(F\). In Sect. 2.4 we recall several constructions related to the Gromov–Hausdorff distance, incorporating both \(d_{\mathrm {H}}\) and \(F\), in a way that the definitions and properties of \(d_{\mathrm {pGH}}\), \(d_{\mathrm {pmGH}}\) and \(d_{*}\) all follow from the same construction.
In Sect. 3 we prove Theorem 3.4: the construction of a Hölder surface under the hypotheses of sets \(X\supset C\supset G\) such that, for each \(x\in G\) and each sufficiently small \(r>0\), \(B(x,r)\cap C\) is approximated (up to sets of small measure) by biLipschitz images of \({\mathbb {R}}^n\) (see Definition 3.2).
In Sect. 4 we define \(d_{\mathrm {pmGH}}\) and \(d_{*}\) and prove various properties, in particular the relationship between the two in Theorem 4.11. This section may be of independent interest.
Section 5 contains the definition of a tangent measure using \(d_{*}\) and develops the theory of tangent measures in parallel to the basic theory of Preiss [5].
2 Preliminaries
Throughout this article n will denote a fixed positive integer. For \(m\in {\mathbb {N}}\), \({\mathbb {R}}^m\) will denote the mdimensional real vector space, \(\ell _2^m=({\mathbb {R}}^m,\Vert \cdot \Vert _2)\) and \(\ell _\infty ^m=({\mathbb {R}}^m,\Vert \cdot \Vert _\infty )\). We also write \(\ell _\infty \) for the Banach space of all bounded real sequences equipped with the supremum norm.
Let (X, d) be a metric space. If \(S\subset X\) and \(x\in X\) we will write
and
the closed neighbourhood of S of radius r. We write B(x, r) for \(B(\{x\},r)\), the closed ball of radius r centred at x. Similarly, we define
and \(U(x,r)=U(\{x\},r)\), the open neighbourhood of S and open ball centred on x, respectively. We will often omit notation for the metric d when it is not necessary.
By a measure on X we mean a nonnegative countably subadditive function \(\mu \) defined on the power set of X with \(\mu (\emptyset )=0\). A set \(A\subset X\) is \(\mu \)measurable if
The set of all \(\mu \)measurable subsets of X is a \(\sigma \)algebra and \(\mu \) is countably additive when restricted to the set of \(\mu \)measurable sets. A Borel measure on X is a measure for which all Borel subsets of X are \(\mu \)measurable. A Borel measure is Borel regular if, for any \(S\subset X\), there exists a Borel \(B\supset S\) with \(\mu (B)=\mu (S)\). Note that, for any \(Y\subset X\), the monotonicity of \(\mu \) implies \(\mu (Y\cap S) = \mu (Y\cap B)\). The support of \(\mu \), denoted \({\text {spt}}\mu \), is the smallest closed set \(C\subset X\) with \(\mu (X\setminus C)=0\).
We write \({\mathcal {M}}(X)\) for the set of all Borel regular measures on X and define \({\mathcal {M}}_{\mathrm {loc}}(X)\) to be those \(\mu \in {\mathcal {M}}(X)\) that are finite on all balls in X. By [21, Theorem 2.2.2], for any \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\), and any Borel \(B\subset X\),
Also note that, for any \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\), \({\text {spt}}\mu \) is separable. Consequently, if X is complete, any \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\) is a Radon measure. That is, for every Borel \(B\subset X\),
2.1 Rectifiable subsets of a metric space
For \(s\ge 0\), \(0\le \delta \le \infty \) and \(A\subset X\), define
and
the sdimensional Hausdorff measure of A. For any \(s\ge 0\) and any metric space X, \( {\mathcal {H}}^s\) is a Borel regular measure on X, see [1, Section 4]. We note that \({\mathcal {H}}^s_\infty (A)\), the sdimensional Hausdorff content of A, is bounded above by \({\text {diam}}(A)^s\).
For \(L\ge 0\), a function \(f:(X,d)\rightarrow (Y,\rho )\) between two metric spaces is LLipschitz if
Note that, for any \(s\ge 0\), \(0\le \delta \le \infty \) and \(A\subset Y\),
In particular, Lipschitz functions increase \({\mathcal {H}}^s\) and \({\mathcal {H}}^s_\infty \) by at most a multiplicative factor of \(L^s\). A function \(f:(X,d)\rightarrow (Y,\rho )\) is LbiLipschitz if it is LLipschitz and invertible onto its image with LLipschitz inverse. That is, for any \(x,y\in Y\),
For a \({\mathcal {H}}^s\)measurable \(S\subset X\) and \(x\in X\) define the upper and lower Hausdorff densities of S at x by
and
respectively.
Definition 2.1
A \({\mathcal {H}}^n\)measurable \(E\subset X\) is nrectifiable if there exist a countable number of Lipschitz \(f_i :A_i \subset {\mathbb {R}}^n \rightarrow X\) such that
A \( {\mathcal {H}}^n\)measurable \(S\subset X\) is purely nunrectifiable if every nrectifiable \(E\subset X\) satisfies \({\mathcal {H}}^n(S\cap E)=0\).
By the same proof as for rectifiable subsets of Euclidean space (see [1, Theorem 15.6]), we have the following decomposition result.
Lemma 2.2
Let \(Y\subset X\) be \( {\mathcal {H}}^n\)measurable with \( {\mathcal {H}}^n(Y)<\infty \). There exists a decomposition \(Y=E\cup S\) where E is nrectifiable and S is purely nunrectifiable.
Recall the following classical result regarding Hausdorff densities.
Lemma 2.3
([21] 2.10.18) Let \(s>0\) and \(S\subset X\) be \({\mathcal {H}}^s\)measurable with \({\mathcal {H}}^s(S)<\infty \). Then

1.
For \({\mathcal {H}}^s\)a.e. \(x\in S\)
$$\begin{aligned} \Theta ^{*,s}(S,x)\le 1; \end{aligned}$$ 
2.
For \({\mathcal {H}}^s\)a.e. \(x\in X\setminus S\)
$$\begin{aligned} \Theta ^{*,s}(S,x)=0. \end{aligned}$$
The following theorem of Kirchheim precisely describes the local structure of rectifiable subsets of a metric space. Note the statements of theorem 2.4 and lemma 2.5 are slightly different to those in [10] due to the choice of normalisation of Hausdorff measure.
Theorem 2.4
(Theorem 9 [10]) Let \(E\subset X\) be nrectifiable. For \({\mathcal {H}}^n\)a.e. \(x\in E\) there exists a norm \(\Vert \cdot \Vert _x\) on \({\mathbb {R}}^n\), a map \(f_x:X\rightarrow {\mathbb {R}}^n\) and a closed set \(C_x\subset E\) such that \(f_x(x)=0\),
and
Note that, if \({\mathcal {H}}^n(E)<\infty \), (7) and Lemma 2.3 item 1 imply
and
We also note the following.
Lemma 2.5
(Lemma 6 [10]) If \(\Vert \cdot \Vert \) is a norm on \({\mathbb {R}}^n\) then \({\mathcal {H}}^n(B(0,r))=(2r)^n\). Here \({\mathcal {H}}^n\) and B(0, 1) are defined with respect to \(\Vert \cdot \Vert \).
We also require the McShane extension theorem.
Theorem 2.6
Let \(S\subset X\) and \(0<\alpha \le 1\). Suppose that \(f:S\rightarrow \ell _\infty ^m\) (respectively into \(\ell _\infty \)) is an \(\alpha \)Hölder map with Hölder constant H. Then there exists an \(\alpha \)Hölder extension \(F:X\rightarrow \ell _\infty ^m\) (respectively into \(\ell _\infty )\) of f with Hölder constant H. In particular, F is \(\alpha \)Hölder with Hölder constant \(\sqrt{m}H\) as a map into \(\ell _2^m\).
Moreover, for each \(1\le i\le m\) (respectively, for each \(i\in {\mathbb {N}}\)), F may be chosen such that
Finally, if \(S\subset B(x,r)\) for some ball \(B(x,r)\subset X\) then F may be chosen with \({\text {spt}}F\subset B(x,r')\), for \(r'=r+(H^{1}\Vert f\Vert _\infty )^{1/\alpha }\).
Here and throughout, \({\text {spt}}F\) denotes the closure of the set
Proof
The proof of the first part is standard, see [22, Section 6]. For the second part, one simply replaces the ith coordinate of F by
for each \(1\le i \le m\) (respectively for each \(i\in {\mathbb {N}}\)).
Finally, if \(S\subset B(x,r)\) then f is bounded. We first extend f to a map \(f'\) defined on
by defining \(f'\) to equal zero on \(X\setminus B(x,r')\). Then \(f'\) is also \(\alpha \)Hölder with Hölder constant H. Applying the second part of the theorem to \(f'\) gives the final statement. \(\square \)
2.2 Doubling measures
Much of the theory of tangent measures requires the original measure to be asymptotically doubling.
Definition 2.7
For \(M\ge 1\), \(\mu \in {\mathcal {M}}(X)\) is Mdoubling if
for each \(x\in X\) and each \(r>0\). A \(\mu \in {\mathcal {M}}(X)\) is asymptotically doubling if
To proceed we need the following standard facts.
Lemma 2.8
Let \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\). For any \(r>0\),
and
Consequently, for any \(R,M,s >0\) the set
is a Borel set, as are
and
Proof
If \(x_i\rightarrow x\) with \(d(x_i,x)\) monotonically decreasing then
monotonically increases to U(x, r) and is contained in \(U(x_i,r)\), proving (10). Similarly,
monotonically decreases to B(x, r) and contains in \(B(x_i,r)\), proving (11). Consequently, for any \(R,M>0\) and \(\delta \ge 0\), the set
is closed, as is
The proof that B and C are Borel is similar. \(\square \)
Lemma 2.9
Let \(\mu \in {\mathcal {M}}(X)\). Suppose that for some \(M,R>0\) a set \(Y\subset X\) satisfies
Then for any \(x\in Y\) and \(r<R/2\), \(B(x,r)\cap Y\) is contained in \(M^4\) balls of radius r/2 centred at points of \(B(x,r)\cap Y\). In particular, for any \(\epsilon >0\), \(B(x,r)\cap Y\) is contained in \(M^{4\log _2 \epsilon }\) balls of radius \(\epsilon r\).
Proof
Let \({\mathcal {N}}\) be a maximal disjoint r/4net of \(B(x,r)\cap Y\). Then for any \(y\in {\mathcal {N}}\), (12) gives
For \(y\in {\mathcal {N}}\) the B(y, r/4) are disjoint subsets of B(x, 2r). Therefore, if \(y_1,\ldots ,y_N\in {\mathcal {N}}\),
using (13) for the penultimate inequality and (12) for the final inequality. Thus \(N\le M^4\).
The statement about covering by balls of radius \(\epsilon r\) follows by induction. \(\square \)
Theorem 2.10
Any asymptotically doubling \(\mu \in {\mathcal {M}}(X)\) satisfies the Lebesgue density theorem. That is, for any \(S\subset X\) and for \(\mu \)a.e. \(x\in S\),
Such an \(x\in S\) is a Lebesgue density point of S.
Proof
This is a standard result for doubling measures. First one proves the Vitali covering theorem [22, Theorem 1.6] and uses it to deduce the Lebesgue differentiation theorem [22, Theorem 1.8] and hence the Lebesgue density theorem for Borel sets \(S \subset X\).
The proof for asymptotically doubling measures is the same since the proof of the Vitali covering theorem works, with minor modifications, only assuming an almost everywhere countable decomposition into Borel sets, each satisfying (12) for some \(M,R>0\). Assuming \(\mu \) is asymptotically doubling, Lemma 2.8 gives such a decomposition of \({\text {spt}}\mu \).
The statement for arbitrary \(S\subset X\) follows by considering a Borel \(S'\supset S\) with \(\mu (S')=\mu (S)\). \(\square \)
2.3 Prokhorov’s theorem
A sequence \(\mu _i\in {\mathcal {M}}_{\mathrm {loc}}(X)\) weak* converges to \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\) if, for every bounded and continuous \(g:X\rightarrow {\mathbb {R}}\) with bounded support,
We write \(\mu _i\rightarrow \mu \) to denote this convergence.
Recall that, if \(\mu _i\rightarrow \mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\) and \(x_i\rightarrow x\in X\), then for every \(r>0\),
and
Indeed, these follow by combining the standard proof of lower/upper semicontinuity for a fixed open/closed set and the proof of Eqs. (10) and (11).
Recall Prokhorov’s theorem, reformulated to describe convergence in \({\mathcal {M}}_{\mathrm {loc}}(X)\).
Theorem 2.11
(Theorem 2.3.4 [23]) Let X be a complete and separable metric space and \(x\in X\). A set \({\mathcal {S}}\subset {\mathcal {M}}_{\mathrm {loc}}(X)\) is precompact (with respect to weak* convergence) if and only if, for every \(r,\epsilon >0\):

\(\{\mu (B(x,r)) : \mu \in {\mathcal {S}}\}\) is bounded and

There exists a compact \(K\subset X\) such that
$$\begin{aligned} \mu (B(x,r)\setminus K) \le \epsilon \quad \forall \mu \in {\mathcal {S}}. \end{aligned}$$(16)
Definition 2.12
Let X be a metric space and \(x\in X\). For \(\mu ,\nu \in {\mathcal {M}}_{\mathrm {loc}}(X)\), and \(L,r>0\), define
Define \(F_x^L(\mu ,\nu )\) to be the infimum, over all \(0< \epsilon <1/2\), for which
If no such \(0<\epsilon <1/2\) exists, set \(F_x^L(\mu ,\nu )=1/2\). Also define \(F_x(\mu ,\nu )\) to be the infimum, over all \(0< \epsilon <1/2\), for which
If no such \(0<\epsilon <1/2\) exists, set \(F_x(\mu ,\nu )=1/2\).
Note that \(F_x^{L,r}\) is increasing in L, r and
Note that, for any Borel \(S\subset X\),
The reason for allowing the Lipschitz constants of the functions to increase when defining \(F_x\) will become clear in Lemma 4.10.
Proposition 2.13
Let X be a metric space, \(x\in X\) and \(L>0\). Convergence in \(F_x\), equivalently \(F_x^L\), implies weak* convergence in \({\mathcal {M}}_{\mathrm {loc}}(X)\) and, if X is complete and separable, the converse is true.
Proof
Equivalence of convergence in \(F_x\) and \(F_x^L\) follows from (17).
Suppose \(F_x(\mu _i,\mu )\rightarrow 0\) and that \(g:X \rightarrow {\mathbb {R}}\) is bounded and continuous with \({\text {spt}}g\subset B(x,r)\). The fact that
follows from a standard approximation argument [16, Section 5.1]. Indeed, observe that the sequence
monotonically increases to g and that each \(g_k\) is kLipschitz with
Thus,
using monotonicity of the integral for the inequality, the fact that \(F_x(\mu _i,\mu )\rightarrow 0\) for the first equality and the monotone convergence theorem for the final equality. The reverse “limsup” equality follows from a similar argument that involves approximating g from above.
Now suppose that X is complete and separable, that \(\mu _i\rightarrow \mu \) in \({\mathcal {M}}_{\mathrm {loc}}(X)\) but \(F_x(\mu _i,\mu )\not \rightarrow 0\). By taking a (nonrelabelled) subsequence, there exist an \(r>0\) such that \(F_x(\mu _i,\mu )>1/r\) for all \(i\in {\mathbb {N}}\). That is, for each \(i\in {\mathbb {N}}\) there exists an rLipschitz \(g_i :X \rightarrow [1,1]\) with \({\text {spt}}g_i \subset B(x,r)\) such that
Set \(r'=r+1/r\). By Theorem 2.11, there exist an \(M>0\) and a compact \(K\subset B(x,r')\) such that, for all \(i\in {\mathbb {N}}\), \(\mu _i(B(x,r')) \le M\) and
By increasing K if necessary, we may also suppose \(\mu (B(x,r')\setminus K)<1/8r\).
The Arzelà–Ascoli theorem implies that, after taking a further subsequence, the \(g_i\) converge uniformly on K to an rLipschitz \(g:K\rightarrow [1,1]\) with \({\text {spt}}g \subset B(x,r)\). By Theorem 2.6, we may extend g to an rLipschitz function defined on the whole of X with \({\text {spt}}g\subset B(x,r')\). Then, for any sufficiently large i such that
which exists by (15),
This contradicts \(\mu _i\rightarrow \mu \). \(\square \)
Lemma 2.14
For any metric space X, \(x\in X\) and \(L>0\), \(F_x\) and \(F_x^L\) are metrics on \({\mathcal {M}}_{\mathrm {loc}}(X)\). If X is complete and separable then so are \(({\mathcal {M}}_{\mathrm {loc}}(X),F_x)\) and \(({\mathcal {M}}_{\mathrm {loc}}(X),F_x^L)\).
Proof
Certainly \(F_x\) are positive, finite on \({\mathcal {M}}_{\mathrm {loc}}(X)\) and symmetric. If \(F_x(\mu ,\nu )=0\), then the monotonicity of \(F^{L,r}_x\) implies \(F^{L,r}_x(\mu ,\nu )=0\) for every \(L,r>0\). Consequently, the monotone convergence theorem implies \(\mu (C)=\nu (C)\) for all closed and bounded \(C\subset X\) and hence \(\mu (B)=\nu (B)\) for all Borel \(B\subset X\). Since \(\mu \) and \(\nu \) are both Borel regular, this implies \(\mu =\nu \).
To see that \(F_x\) satisfies the triangle inequality, let \(\mu ,\nu ,\lambda \in {\mathcal {M}}_{\mathrm {loc}}(X)\). If either of \(F_x(\mu ,\lambda )\) or \(F_x(\lambda ,\nu )\) equal 1/2 then the triangle inequality holds since \(F_x(\mu ,\nu )\le 1/2\). Otherwise, for \(\delta >0\), let \(0<\epsilon _1<F_x(\mu ,\lambda )+\delta \) and \(0<\epsilon _2< F_x(\lambda ,\nu )+\delta \) satisfy
Then the triangle inequality and monotonicity of \(F_x^{L,r}\) imply
Since \(\delta >0\) is arbitrary, this shows that \(F_x\) is a metric.
If \(x_i\), \(i\in {\mathbb {N}}\) is a dense subset of X, one easily checks that the set
is dense in \({\mathcal {M}}_{\mathrm {loc}}(X)\).
Finally, the completeness of \(F_x\) immediately follows from [23, Corollary 2.3.5] (that convergence of \(\int g\, \mathrm {d}\mu _i\) for every bounded Lipschitz g implies (16)), Theorem 2.11 and Proposition 2.13. The proof for \(F_x^L\) is similar. \(\square \)
2.4 Gromov distances, embeddings and convergence
Pointed Gromov–Hausdorff convergence of metric spaces is prevalent in the literature. However, the metric defining this convergence is less commonly used. In this subsection we recall Gromov’s metric for pointed Gromov–Hausdorff convergence and prove some basic facts about it that are missing from the literature (namely that it is a complete metric on the isometry classes of pointed metric spaces). Our presentation of this is sufficiently general so that the corresponding statements for the pointed measured Gromov–Hausdorff distance, and our metric \(d_{*}\), easily follow (see Sect. 4).
We use the following modification of the Hausdorff distance.
Definition 2.15
(Section 6 [24]) Let Z be a metric space, \(z\in Z\) and \(X,Y\subset Z\). Define \(H_z(X,Y)\) to be the infimum over all \(0<\epsilon <1/2\) for which
If no such \(0<\epsilon <1/2\) exists, set \(H_z(X,Y)=1/2\). Note that, if (20) is satisfied for some \(\epsilon >0\) then it is satisfied for all \(\epsilon '\ge \epsilon \).
Lemma 2.16
For any metric space Z and \(z\in Z\), \(H_z\) is a pseudometric on the power set of Z and is a metric on the closed subsets of Z. If Z is complete then so is the set of closed subsets of Z equipped with \(H_z\).
Proof
Let \(\zeta \) be the metric on Z, let \(X,Y,W\subset Z\) and let
If one of \(d_{XW}\) or \(d_{WY}\) equals 1/2 there is nothing to prove. Otherwise, let \(0<\delta <1/2\min \{d_{XZ},d_{ZY}\}\). If
then (20) for X and W gives a \(w\in W\) with
In particular, since \(d_{XW},d_{WZ}<1/2\delta \),
Therefore (20) for W and Y gives a \(y\in Y\) with
In particular,
Thus Eqs. (21) and (24) show that (20) holds between X and W for \(\epsilon =d_{XW} + d_{WY}+2\delta \). Since \(\delta >0\) is arbitrary, this completes the proof.
If \(C\subset Z\) is closed and \(H_z(C,S)=0\), then for any \(x\in S\) there exist \(x_i\in C\) with \(x_i\rightarrow x\). Since C is closed, \(x\in C\) and so \(C\subset S\). Consequently, \(H_z\) is a metric on the closed subsets of Z.
Completeness follows from the same argument as the regular Hausdorff metric [25, Proposition 7.3.7]. \(\square \)
In this section we consider isometric embeddings \(X \rightarrow Z\) of one metric space into another. We identify X, its elements and any measure on X, with their isometric images in Z.
We require the following standard construction.
Lemma 2.17
Let \(X_i\) be a sequence of metric spaces and, for each \(i\le j\in {\mathbb {N}}\), suppose that there exist isometric embeddings \(X_i,X_j \rightarrow (Z_{i,j},\zeta _{i,j})\) into some metric space. There exists a metric space \((Z,\zeta )\) and, for each \(i\in {\mathbb {N}}\), isometric embeddings \(X_i\rightarrow Z\) such that, for each \(i\le j\in {\mathbb {N}}\), \(w_i\in X_i\) and \(w_j\in X_j\), \(\zeta (w_i,w_j) \le \zeta _{i,j}(w_i,w_j)\), with equality if \(j=i+1\).
Proof
Define a function \(\zeta \) on
as follows. For \(i\le j\in {\mathbb {N}}\), \(w_i\in X_i\) and \(w_j\in X_j\), define \(\zeta (w_i,w_j)\) to be the infimum of
over all \(m\in {\mathbb {N}}\), \(i=k_0 \le k_1\le \ldots \le k_m = j\) and \(w_k\in X_k\) for each \(i< k < j\). Then \(\zeta \) is a pseudometric on Z such that \(\zeta (w_i,w_j) \le \zeta _{i,j}(w_i,w_j)\) for all \(i\le j\in {\mathbb {N}}\), \(w_i\in X_i\) and \(w_j\in X_j\). If \(j=i+1\), the triangle inequality for \(\zeta _{i,i+1}\) gives the reverse inequality. Finally, let \((Z,\zeta )\) be the metric space obtained from \(({\tilde{Z}},\zeta )\). Since each \(X_i\rightarrow {\tilde{Z}}\), the projection to Z gives an isometric embedding \(X_i\rightarrow Z\). \(\square \)
Definition 2.18
A pointed metric space (X, x) consists of a metric space X and a distinguished point \(x\in X\). An isometric embedding \((X,x)\rightarrow (Y,y)\) of pointed metric spaces is an isometric embedding of metric spaces with \(x=z\). An isometry \((X,x)\rightarrow (Y,y)\) is a surjective isometric embedding.
A pointed metric measure space \((X,\mu ,x)\) consists of a complete and separable pointed metric space (X, x) and a \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\).
Definition 2.19
Let \((X,\mu ,x)\) and \((Y,\nu ,y)\) be pointed metric measure spaces and \(a,b\ge 0\). Define
to be the infimum, over all pointed metric spaces (Z, z) and all isometric embeddings \((X,x),(Y,y)\rightarrow (Z,z)\) of
Proposition 2.20
For any \(a,b\ge 0\), \(G_{a,b}\) is a complete pseudometric on the class of pointed metric measure spaces. Moreover,
if and only if there exists a complete and separable pointed metric space (Z, z) and isometric embeddings \((X_i,x_i) \rightarrow (Z,z)\) and \((X,x)\rightarrow (Z,z)\) such that
Proof
First observe the following. Let \(\zeta ,\zeta '\) be metrics on a set Z with \(\zeta \le \zeta '\). Let \(z\in Z\) and suppose that \(X,Y\subset Z\). Then
where the superscript denotes the metric used to define \(H_z\). Also, since any Lipschitz function on \(X\cup Y\subset Z\) with respect to \(\zeta \) is Lipschitz with respect to \(\zeta '\), if \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\) and \(\nu \in {\mathcal {M}}_{\mathrm {loc}}(Y)\),
To prove the triangle inequality for \(G_{a,b}\), for \(i=1,2,3\) let \((X_i,d_1,\mu _i,x_i)\) be a pointed metric measure space and suppose there exist isometric embeddings
and
Let \(\zeta _{1,3}\) be the metric on \(X_1\sqcup X_3\) that equals \(d_1\) and \(d_3\) on \(X_1\) and \(X_3\) respectively and \(\zeta (w_1,w_3)=1+d_1(w_1,x_1)+d_3(w_3,x_3)\) whenever \(w_1\in X_1\) and \(w_3\in X_3\). Let \((Z,\zeta )\) be the metric space obtained from Lemma 2.17 and note that necessarily \(x_1=x_2=x_3=:z\) in Z. The triangle inequality for \(H_z\) and \(F_z\) in Z imply
Combining Eqs. (25) to (27) gives the triangle inequality for \(G_{a,b}\).
Now let \((X_i,\mu _i,x_i)\) be a Cauchy sequence with respect to \(G_{a,b}\) and, for each \(i\le j\in {\mathbb {N}}\), let \((Z_{i,j},\zeta _{i,j},z_{i,j})\) be a pointed metric space for which there exist isometric embeddings
with
Let \((Z,\zeta )\) be the completion of the metric space given by Lemma 2.17 and note that necessarily \(x_1=x_2=\ldots =:z\) in Z. Since each \(X_i\) is separable, so is Z. Since each \(X_i\) is complete, they are closed subsets of Z and so the \(\mu _i\in {\mathcal {M}}_{\mathrm {loc}}(Z)\). Equations (25), (26) and (28) imply that the \(X_i\) and \(\mu _i\) are Cauchy sequences with respect to \(H_z\) and \(F_z\) in Z. Since Z is complete, \(X_i\) and \(\mu _i\) converge to some X and \(\mu \). Consequently
Since any convergent sequence is Cauchy, this also proves the moreover statement. \(\square \)
Definition 2.21
(Section 6 [24]) The Gromov–Hausdorff distance between pointed metric spaces (X, x) and (Y, y) is defined to be
The definition of \(d_{\mathrm {pGH}}\) in [24] only requires isometric embeddings into \((Z,\zeta )\) satisfying \(\zeta (x,y)\le \epsilon \), not necessarily \(x=y\). However, the next lemma shows that two definitions are biLipschitz equivalent. We will see that fixing the distinguished point simplifies several results.
Lemma 2.22
Let \((Z,\zeta )\) be a metric space, \(X,Y\subset Z\), \(x\in X\) and \(y\in Y\) with \(x\ne y\).

1.
The metric \({\tilde{\zeta }}\) on \(X\sqcup Y\) that equals \(\zeta \) on each of X and Y and \({\tilde{\zeta }}(w,w')=\zeta (w,w')+\zeta (x,y)\) for any \(w\in X\) and \(w'\in Y\) satisfies
$$\begin{aligned} {\tilde{\zeta }}(w,x) \le {\tilde{\zeta }}(w,y)\ \forall w\in X \quad \text {and}\quad {\tilde{\zeta }}(w,y) \le {\tilde{\zeta }}(w,x)\ \forall w\in Y. \end{aligned}$$(29) 
2.
Let \({\tilde{\zeta }}\) be any metric on \(X\sqcup Y\) that equals \(\zeta \) on each of X and Y that satisfies (29). If \((Z',\zeta ')\) is the quotient metric space of \((X\sqcup Y,{\tilde{\zeta }})\) with respect to the relation \(x\sim y\), there exist isometric embeddings \(X,Y\rightarrow Z'\) with \(x=y\).

3.
There exists a metric space \((Z',\zeta ')\) and isometric embeddings \(X,Y\rightarrow Z'\) with \(x=y\) such that \(\zeta '\le \zeta +\zeta (x,y)\) on \(X\cup Y\).
Proof
The triangle inequality for \(\zeta \) implies the triangle inequality for \({\tilde{\zeta }}\). Equation (29) is equivalent to the triangle inequality for \(\zeta \). This proves item 1.
The quotient metric of any metric \({\tilde{\zeta }}\) with respect to the relation \(x\sim y\) is given by
If \({\tilde{\zeta }}\) satisfies (29) then \(\zeta '\) equals \(\zeta \) on each of X and Y. Indeed, if \(w,w'\in X\),
by the triangle inequality and (29). Thus \(\zeta '(w,w')={\tilde{\zeta }}(w,w')\). The corresponding statement for elements of Y implies item 2.
Combining items 1 and 2 gives item 3. \(\square \)
The following Lemma is an adaptation of the corresponding concepts of an \(\epsilon \)isometry of bounded metric spaces, see [25, Corollary 7.3.28].
Definition 2.23
Let (X, d, x) and \((Y,\rho ,y)\) be pointed metric spaces and \(\epsilon >0\). An \(\epsilon \)isometry \(f:(X,d,x)\rightarrow (Y,\rho ,y)\) is a Borel map \(f:B(x,1/\epsilon ) \rightarrow Y\) with \(f(x)=y\) such that
and
Lemma 2.24
Let \((Z,\zeta ,z)\) be a pointed metric space, X, Y separable subsets of Z and \(0<\epsilon <1/2\). If \(H_z(X,Y)<\epsilon \) then there exists a Borel map
with \(\zeta (f(x),x) \le \epsilon \) for all \(x\in X\cap B(z,1/\epsilon )\) and
In particular, if \(d_{\mathrm {pGH}}((X,x),(Y,y))<\epsilon \), there exists a \(2\epsilon \)isometry from (X, x) to (Y, y).
Conversely, if there exists an \(\epsilon \)isometry from (X, x) to (Y, y) then there exists a pointed metric space \((Z,\zeta ,z)\) and isometric embeddings
such that, for all \(x'\in B(x,1/\epsilon )\),
In particular,
Proof
Let \(\delta >0\) be such that \(H_z(X,Y)<\epsilon \delta \). Since X is separable, there exist by countably many disjoint and nonempty Borel sets \(X_j\subset X\), \(j\in {\mathbb {N}}\), of diameter at most \(\delta \) with \(B(z,1/\epsilon )\cap X=\cup _j X_j\). For each \(j\in {\mathbb {N}}\), pick \(x_j\in X_j\). Since \(H_z(X,Y)<\epsilon \delta \), there exists \(y_j\in Y\) with \(\zeta (x_j,y_j) \le \epsilon \delta \). Define \(f(w)=y_j\) for each \(w\in X_j\). Then f is a Borel map and, by the triangle inequality, for x in any \(X_j\),
To see that (32) holds, let
By assumption there exists \(x\in X\) with \(\zeta (x,y)\le \epsilon \). Then by the triangle inequality,
Consequently f(x) is defined and, by (33) and the triangle inequality,
proving (32).
For the converse statement, let f be the assumed \(\epsilon \)isometry and define \(\zeta \) on \(X\sqcup Y\) by \(\zeta =d\) on X, \(\zeta =\rho \) on Y and
whenever \(z\in X\) and \(t\in Y\). Then \(\zeta \) is a metric: if \(z,z''\in X\) and \(w,w''\in B(x,1/\epsilon )\), the triangle inequality for \(d,\rho \) and the fact that f is an \(\epsilon \)isometry imply
for any \(t\in Y\). Taking the infimum over all \(w,w'\in B(x,1/\epsilon )\) shows \(\zeta (z,z')\le \zeta (z,t)+\zeta (t,z')\). A similar argument for \(t,t'\in Y\) and \(z\in X\) shows that \(\zeta \) satisfies the triangle inequality. Note that \(\zeta \) satisfies \(\zeta (x,y)=\epsilon \) and (29). Indeed, for any \(w\in B(x,1/\epsilon )\), since f is an \(\epsilon \)isometry,
Taking the infimum over all \(w\in B(x,1/\epsilon )\) gives (29).
Let \((Z',\zeta ')\) be the metric space obtained from Lemma 2.22 item 2. Observe that for any \(x'\in B(x,1/\epsilon )\), \(\zeta '(x',f(x'))\le \epsilon \), proving and the first containment in (20). If \(y'\in Y\cap B(y,1/\epsilon \epsilon )\) then there exists \(x'\in X\cap B(x,1/\epsilon )\) with \(\rho (y',f(x'))\le \epsilon \), so that \(\zeta '(x',y')\le 2\epsilon \), proving the second containment in (20), for \(\epsilon \) replaced by \(2\epsilon \). \(\square \)
Recall that a metric space X is proper if all closed balls in X are compact.
Corollary 2.25
The Gromov–Hausdorff distance is a complete and separable metric on the set \({\mathbb {M}}_p\) of isometry classes of proper pointed metric spaces. That is, if (X, x) and (Y, y) are proper with
then there exists an isometry \((X,x)\rightarrow (Y,y)\).
Remark 2.26
Here and below, the issue of considering the set of “all” separable metric spaces can be easily avoided by using the Kuratowski (isometric) embedding of any separable metric space into \(\ell _\infty \).
We also make no distinction in notation between spaces and their equivalence classes. It can be easily verified that the concepts we consider to not depend on particular representatives of an equivalence class.
Proof
By Proposition 2.20 we know that \(d_{\mathrm {pGH}}\) is a complete pseudometric. Moreover, if
and \(B(x,1/\epsilon )\) is covered by N balls of radius \(\epsilon \), then \(B(y,1/2\epsilon )\) is covered by N balls of radius \(2\epsilon \). Thus, if (Y, y) is a complete pointed metric space and is the \(d_{\mathrm {pGH}}\) limit of a sequence of proper pointed metric spaces, then Y is proper too. It is easily verified that the set of finite pointed metric spaces with rational distances is dense in \(({\mathbb {M}}_p,d_{\mathrm {pGH}})\).
Now let (X, x) and (Y, y) be proper satisfying (34) and fix \(k\in {\mathbb {N}}\). For each \(j\in {\mathbb {N}}\) let \({\mathcal {N}}_j\) be a finite 1/jnet of B(x, k). For each fixed \(j\in {\mathbb {N}}\), by taking a convergent subsequence, we may suppose that the \(f_i\) converge to an isometry when restricted to \({\mathcal {N}}_j\) whose image is a 2/jnet of B(y, k). By taking a diagonal subsequence, we may suppose the \(f_i\) converge to an isometry when restricted to each \({\mathcal {N}}_{j}\). Let \(\iota :\cup _j {\mathcal {N}}_j \rightarrow B(y,k)\) be the limiting isometry. Since \(\cup _j {\mathcal {N}}_j\) is dense in B(x, k), \(\iota (\cup _j{\mathcal {N}}_j)\) is dense in B(y, k) and since B(y, k) is complete, \(\iota \) extends to an isometry \(\iota :B(x,k)\rightarrow B(y,k)\). Taking a convergent diagonal subsequence over \(k\rightarrow \infty \) completes the proof. \(\square \)
The Gromov compactness theorem is an immediate corollary of the completeness of \(({\mathbb {M}}_p,d_{\mathrm {pGH}})\).
Recall that a set of metric spaces \({\mathcal {S}}\) is uniformly totally bounded if, for every \(\epsilon >0\) there exists \(N_\epsilon \in {\mathbb {N}}\) such that each \(X\in {\mathcal {S}}\) is contained in \(N_\epsilon \) balls of radius \(\epsilon \).
Theorem 2.27
(Section 6 [24]) A set \({\mathcal {S}} \subset ({\mathbb {M}}_p,d_{\mathrm {pGH}})\) is precompact if and only if, for every \(r>0\),
is uniformly totally bounded.
Proof
The given condition is equivalent to \({\mathcal {S}}\) being totally bounded in \(({\mathbb {M}}_p,d_{\mathrm {pGH}})\). Indeed, for \(\epsilon >0\) and \((X,x)\in {\mathcal {S}}\), suppose that \(B(x,1/\epsilon )\) is covered by \(N_\epsilon \) balls of radius \(\epsilon \). Let \({\mathcal {N}}\) be the set of metric spaces of the form
with
for each \(x\ne y\in Y\) (and such that \(\rho \) satisfies the triangle inequality). Then \({\mathcal {S}}\) is contained in the \(2\epsilon \) neighbourhood of \({\mathcal {N}}\).
Conversely, suppose that \({\mathcal {S}}\) is totally bounded and \({\mathcal {N}}\subset {\mathcal {S}}\) is a finite set such that \({\mathcal {S}}\subset B({\mathcal {N}},\epsilon )\). Since each \((Y,y)\in {\mathcal {N}}\) is proper and \({\mathcal {N}}\) is finite, there exists \(N_\epsilon \in {\mathbb {N}}\) such that, for each \((Y,y)\in {\mathcal {N}}\), \(B(y,1/\epsilon )\) is covered by \(N_\epsilon \) balls of radius \(\epsilon \). Then for any \((X,x)\in {\mathcal {S}}\), \(B(x,1/2\epsilon )\) is contained in \(N_\epsilon \) balls of radius \(2\epsilon \). \(\square \)
3 Construction of a Hölder surface
Recall that throughout the paper we work with a fixed \(n\in {\mathbb {N}}\). For notational convenience, we define \({\text {biLip}}(K)\) as the set of KbiLipschitz images of \(\ell _\infty ^n\), rather than images of \(\ell _2^n\).
Definition 3.1
For \(K\ge 1\) let \({\text {biLip}}(K)\) be the set of isometry classes of all pointed proper metric spaces (X, x) for which there exists a surjective and KbiLipschitz \(\psi :\ell _\infty ^n \rightarrow X\).
Definition 3.2
Let (X, d) be a complete metric space, let \(G\subset C\subset X\) be closed subsets and \(K\ge 1\), \(\eta ,R_0>0\) and \(0<\delta <1/2\).
The triple (X, C, G) has good tangential approximation, written \(GTA(\eta ,K,\delta ,R_0)\), if both of the following conditions hold:

1.
For each \(x \in C\) and each \(0 < r \le R_0\),
$$\begin{aligned} {\mathcal {H}} ^n(B(x,r)) \ge \eta r^n; \end{aligned}$$(35) 
2.
For each \(x\in G\) and each \(0<r \le R_0\), there exists a closed
$$\begin{aligned} C'\subset B(x,r)\cap C \end{aligned}$$containing x with
$$\begin{aligned} {\mathcal {H}} ^n(B(x,r)\setminus C') < \eta (\delta r)^n \end{aligned}$$(36)and
$$\begin{aligned} d_{\mathrm {pGH}}((C',d/r,x),{\text {biLip}}(K))<\min \{\delta ,1/K(1+2\delta )\}. \end{aligned}$$(37)
Observation 3.3
For \(K\ge 1\) and \(0<\delta <1/2\) let
If (X, C, G) satisfies \(GTA(\eta ,K,\delta ,R_0)\) then for any \(0<r\le R_0\) there exists a Borel \(\xi :\Phi \rightarrow C\) with \(\xi (0)=x\) such that
and
for all \(q,q'\in \Phi \). Indeed, let \((Y,\rho ,y)\in {\text {biLip}}(K)\) with
and let \(p:\ell _\infty ^n \rightarrow Y\) be KbiLipschitz and surjective with \(p(0)=x\). Define \(\xi \) by composing p and the \(\delta '\)isometry from \((Y,\rho ,y)\) to \((C',d/r,x)\) granted by Lemma 2.24.
For \(m\in {\mathbb {N}}\) and \(R>0\) let
The main result of this section is the following theorem.
Theorem 3.4
For any \(K \ge 1\), \(0<\gamma <1\) and \(\eta >0\) there exists \(m_0\in {\mathbb {N}}\) such that the following is true. Suppose that \(m\ge m_0\) and \(G\subset C\subset X \subset \ell _\infty \) are closed sets such that (X, C, G) satisfies
Then for any \(x\in G\) and \(0<r\le R_0\), there exists a \(\gamma \)Hölder map
with \(\iota (0)=x\) such that:

1.
\(\iota \vert _{{\mathcal {D}}(r,m)}:{\mathcal {D}}(r,m) \rightarrow C\) is \((K+2^{m})\)biLipschitz onto its image;

2.
For any \(y,z\in [0,r]^n\) with \(\Vert yz\Vert _\infty \le 2^{m}r\),
$$\begin{aligned} \Vert \iota (y)\iota (z)\Vert _\infty \le 10K2^{m\gamma /2} r; \end{aligned}$$ 
3.
$$\begin{aligned} {\mathcal {H}}^n_\infty (\iota ([0,r]^n) \setminus C) \le \Lambda {\mathcal {H}}^n(B(\iota (0),20K r) \cap X\setminus G), \end{aligned}$$
for some \(\Lambda >0\) depending only upon \(K,\gamma ,m,n,\eta \).
Before discussing the proof of Theorem 3.4, we mention how the properties of \(\iota \) are used in the proof of Theorem 1.2 (the complete details are given in Theorem 6.5).
Item 1 implies that the map \(f:= \iota \vert _{{\mathcal {D}}(r,m)}^{1}\) exists and is LLipschitz for some L independent of m and r. After extending f to all of \(\ell _\infty \) using Theorem 2.6, Theorem 3.4 items 1 and 2 imply that
for some constant A independent of m and r. Provided m is sufficiently large, this implies that \(f(\iota ([0,r]^n))\) contains \([r/4,3r/4]^n\) and hence
for an absolute constant \(c>0\) (see Corollary 6.4). Provided
is sufficiently small (which can be guaranteed if \(\iota (0)\) is a density point of G and r is sufficiently small), item 3 and (42) imply that
Moreover, if f is replaced by any LLipschitz g with \(\Vert fg\Vert _\infty < A2^mr/4\), then (41) and hence (42) and (43) also hold for g. The main result of [13] (see Theorem 6.3) then implies that C cannot be purely nunrectifiable. In Proposition 6.2 it is shown that if X satisfies the hypotheses of Theorem 1.2, any subset of X can be covered (up to a \({\mathcal {H}}^n\) null set) by a countable union of sets which satisfy the hypotheses of C. Consequently, X must be nrectifiable.
We now discuss the proof of Theorem 3.4. First note that, by scaling the norm in \(\ell _\infty \), it suffices to consider the case \(R_0=r=1\). The construction of the map \(\iota \) involves a multiscale iteration over subcubes of \([0,1]^n\). To begin we define \(\iota _1\) on \({\mathcal {D}}(1,m)\) to equal the map \(\xi \) given by Observation 3.3. By choosing \(m_0\) sufficiently large, (39) ensures that item 1 of Theorem 3.4 holds.
We now wish to extend \(\iota _1\) to a function \(\iota _2\) defined on (a large subset of) \({\mathcal {D}}(1,2m)\). The basic idea is the following:

Suppose that \(p\in {\mathcal {D}}(1,m)\) is such that \(\iota _1(p)\) is sufficiently close to a point of G. Then the map \(\xi \) from Observation 3.3 provides a rich structure to the neighbourhood of \(\iota _1(p)\). We wish to use \(\xi \) to locally define \(\iota _2\) on points in \({\mathcal {D}}(1,2m)\) that are close to p, whilst maintaining some control on the local Lipschitz constant of \(\iota _2\). (See Lemma 3.8 for the fundamental building block of this extension.)

On the other hand, since \(\xi \) takes values in C, there may well exist \(p\in {\mathcal {D}}(1,m)\) for which \(\iota _1(p)\) lies relatively far away from G. At this stage we do not extend \(\iota _2\) near to p and this will produce a hole in the domain of \(\iota \). Later we will patch over such holes, but we must control the total size of the holes we need to patch. The lower density bound (35) allows us to bound the measure of those points that lie far away from G and consequently on the amount of patching required. (This is addressed much later in Proposition 3.15.)
We then iterate this extension process for each \(i\ge 2\), defining \(\iota _i\) on a large subset of \({\mathcal {D}}(1,im)\) as an extension of \(\iota _{i1}\) and defining \(\iota \) as the limit of the \(\iota _i\). The control on the local Lipschitz constant of each \(\iota _i\) leads to a Hölder bound on \(\iota \) as in Theorem 3.4 item 2; The control on the total amount of patching over all scales leads to item 3.
Before proceeding with more details, we fix notation for this section.
Notation 3.5
We fix \(K\ge 1\), \(0<\gamma <1\) and \(\eta >0\).
Let \(N\in {\mathbb {N}}\) be such that
and choose \(\gamma \le \alpha <1\) such that
Write \(l=2^{N}\) and \(\sigma = (5K^2)^n\), so that
Fix (X, d) a complete metric space and \(C,G\subset X\) such that (X, C, G) satisfies \(GTA(\eta ,K,l/20,1)\).
We note the following. If \(i\in {\mathbb {N}}\) with \(i> 2/\alpha \), Eqs. (44) and (45) give
That is,
Definition 3.6
For \(i \in {\mathbb {N}}\) let
For an integer \(0\le m\le n\), an mdimensional face of side length \(l^{i}\) is any set of the form
with \(p\in {\mathcal {D}}(i)\), \(b\in \{0,1\}^n\) and exactly m of the \(b_i=1\). We denote by \({\mathcal {F}}(m,i)\) the set of all such faces. If \(1\le m \le n\) and \(F\in {\mathcal {F}}(m,i)\), define the boundary of F by
We also write \({\mathcal {Q}}(i) = {\mathcal {F}}(n,i)\), the set of cubes of side length \(l^{i}\). For \(Q\in {\mathcal {Q}}(i)\) the mdimensional skeleton of Q is
For \({\mathcal {Q}} \subset {\mathcal {Q}}(i)\), we define the corners of \({\mathcal {Q}}\) by
We also define the children of \({\mathcal {Q}}\) to be
If \(Q\in {\mathcal {Q}}_i\) we write \({\text {child}}(Q)\) for \({\text {child}}(\{Q\})\).
To begin the construction, we define a decomposition of a given collection of cubes in order to implement the idea sketched above.
Lemma 3.7
Let \(i \in {\mathbb {N}}\), \({\mathcal {Q}}\subset {\mathcal {Q}}(i)\) and, for some \(\beta >0\), suppose that
satisfies
for each \(Q\in {\mathcal {Q}}\) and each \(p,p'\in {\text {cor}}(Q)\). Then there exists a decomposition \({\mathcal {Q}} = {\mathcal {G}}\cup {\mathcal {B}}\) such that:

1.
For each \(Q\in {\mathcal {G}}\) there exists \(x\in G\) with
$$\begin{aligned} \iota ({\text {cor}}(Q)) \subset B(x, 2\beta l^{i}). \end{aligned}$$ 
2.
For every \(p\in {\text {cor}}({\mathcal {B}})\),
$$\begin{aligned} B(\iota (p), \beta l^{i})\cap G = \emptyset . \end{aligned}$$
Proof
Let \(Q\in {\mathcal {Q}}\). The triangle inequality and (47) imply that either item 1 or item 2 holds. Decompose \({\mathcal {Q}}\) accordingly. \(\square \)
The proof of Theorem 3.4 now consists of two main parts. First, for \(i\in {\mathbb {N}}\) and \(\iota \) and \({\mathcal {Q}}\) satisfying the hypotheses of Lemma 3.7, we define an extension of \(\iota \) to
This extension satisfies the hypotheses of Lemma 3.7 for \(i+1\) with a larger value of \(\beta \). Note that we do not extend \(\iota \) into
In the second part we iteratively construct such extensions for all \(i\in {\mathbb {N}}\), using the resulting function from one iteration as the input to the next. We show that the limiting function,
is \(\alpha \)Hölder continuous. A Hölder extension extends \(\iota \) to
This extension simultaneously patches all holes that were created when we did not extend the function into the cubes in \({\mathcal {B}}\) after each application of Lemma 3.7. Finally we show how the properties of \({\mathcal {B}}\) imply Theorem 3.4 item 3.
3.1 Constructing the extension to the next scale
The hypothesis that (X, C, G) satisfies \(GTA(\eta ,K,l/20,1)\) is used to prove the following extension result. This serves as the fundamental building block that is used construct the extension from \({\mathcal {D}}(i)\) to a large subset of \({\mathcal {D}}(i+1)\).
Lemma 3.8
For \(0\le m \le n\) and \(i\in {\mathbb {N}}\) let \(F\in {\mathcal {F}}(m,i)\). For \(0< \beta < 1/(2l^i)\) suppose that
satisfies
for each \(p,p' \in \partial F \cap {\mathcal {D}}(i+1)\). Suppose that there exists \(x\in G\) with
Then there exists an extension of \(\iota \) to
such that
for each \(p,p'\in F \cap {\mathcal {D}}(i+1)\).
Proof
By hypothesis, we have \(r:=2 \beta l^{i} < 1\). Let \(\xi :\Phi \rightarrow C\) be given by Observation 3.3 for x and this value of r. Let \(\delta = l/20\).
For a moment fix a point \(p \in \partial F \cap {\mathcal {D}}(i+1)\). Since \(\iota (p)\in C\), Definition 3.2 item 1 implies
Since \(\iota (p)\in B(x,2\beta l^i)\), (38) implies that there exists \(z\in B(\xi (\Phi ),\delta r)\) with
That is, there exists a point \(\psi (p)\in \Phi \) with
The function \(\psi :\partial F \cap {\mathcal {D}}(i+1) \rightarrow \Phi \) is \(\frac{3K\beta }{2r}\)Lipschitz. Indeed, for any \(p,p'\in \partial F \cap {\mathcal {D}}(i+1)\), Eq. (39) implies
Combining this with Eq. (51) and using the triangle inequality gives
Finally, Eq. (48) and the choice of r gives
This implies that \(\psi \) is \(\frac{3K \beta }{2r}\)Lipschitz as claimed. Since \(\psi \) takes values in \(\Phi \), the second conclusion of Theorem 2.6 gives an extension of \(\psi \) to a \(\frac{3K \beta }{2r}\)Lipschitz function (with respect to \(\Vert \cdot \Vert _\infty \) in both the domain and image)
For each \(p\in F \cap {\mathcal {D}}(i+1)\setminus \partial F\), define \(\iota (p)= \xi (\psi (p))\). To check (50), let \(p,p'\in F \cap {\mathcal {D}}(i+1)\). Note that, regardless of whether p or \(p' \in \partial F\), Eq. (51) and the triangle inequality give
Combining this with (39) gives
Using the fact that \(\psi \) is \(\frac{3K \beta }{2r}\)Lipschitz gives
Finally, substituting in for r and \(\delta \) gives
giving (50). \(\square \)
Suppose we are given \(\iota :{\mathcal {D}}(i) \rightarrow C\) that we wish to extend to \({\mathcal {D}}(i+1)\). One way to do this is to consider each \(Q\in {\mathcal {Q}}(i)\) one at a time and apply Lemma 3.8 several times to extend \(\iota \) to \(Q \cap {\mathcal {D}}(i+1)\) (for the purposes of this discussion, ignore the requirement given in (49)). Such an extension must agree with the value of \(\iota \) at those points in \(\partial Q\cap {\mathcal {D}}(i+1)\) that belong to the boundary of adjacent cubes to which we have previously extended \(\iota \). However, each time Lemma 3.8 is applied in this way, the Lipschitz constant of the extension, given by (50), is a multiplicative factor larger than the input Lipschitz constant given in (48). Consequently, if this is repeated for each \(Q\in {\mathcal {Q}}(i)\), the Lipschitz constant of the extension to the whole of \({\mathcal {D}}(i+1)\) is far too large, and such an extension is useless.
The correct approach is to first extend \(\iota \) to all points of
by applying Lemma 3.8 one face at a time. For any \(F\in {\mathcal {F}}(m,1)\),
Since \(\iota \) is defined on \({\mathcal {D}}(i)\), it can be shown that the Lipschitz constant increases by a fixed amount, independent of the number of \(F\in {\mathcal {F}}(m,1)\) to which the extension is applied. We then extend to
one face at a time. Similarly to the previous case, for any \(F\in {\mathcal {F}}(m,2)\),
Since \(\iota \) is now defined on S, as in the previous case, the Lipschitz constant only increases once, regardless of the number of \(F\in {\mathcal {F}}(m,2)\) to which we apply Lemma 3.8. This is repeated n times in total, so that we extended \(\iota \) to all of \({\mathcal {D}}(i+1)\).
To facilitate this iteration we make the following simple observation.
Observation 3.9
For \(0\le m\le n\) and \(i\in {\mathbb {N}}\), let \(Q,Q'\in {\mathcal {Q}}(i)\), \(p\in {\text {skel}}(Q,m)\cap {\mathcal {D}}(i+1)\) and \(p'\in {\text {skel}}(Q',m)\cap {\mathcal {D}}(i+1)\). Suppose that, for some \(F \in {\mathcal {F}}(m,i)\), \(p\in F\) and \(p' \not \in F\). Then there exists \(q\in \partial F \cap {\mathcal {D}}(i+1)\) such that
Proof
Without loss of generality, we may suppose that
If \(p\in \partial F\) then we pick \(q=p\). Otherwise, we know that
There are two cases:

1.
For some \(1\le j \le m\), \(p'_{j}=0\) or \(p'_{j} \ge l^{i}\);

2.
\(0< p'_{1},\ldots ,p'_{m}< l^{i}\). In this case, since \(p'\in {\text {skel}}(Q',m)\) and hence belongs to some mdimensional face, the other components of \(p'\) must be integer multiples of \(l^{i}\). Since \(p'\not \in F\), one such component, say \(p'_{j}\) differs from \(p_{j}\). Consequently, \(\vert p'_{j}p_{j}\vert \ge l^{i}\).
In the first case, define \(q_{k}=p_{k}\) for each \(k \ne j\) and let \(q_{j}\) equal either 0 or \(l^{i}\), such that \(q_{j}\) lies between \(p_{j}\) and \(p'_{j}\). Then \(q\in \partial F\), \(q_k=p_k\) for all \(k\ne j\) and
which implies (52). In the second case, arbitrarily pick \(q\in \partial F \cap {\mathcal {D}}(i+1)\). Then \(\Vert pq\Vert _{\infty }\le l^{i} \le \Vert pp'\Vert _{\infty }\), implying one inequality in (52). Also, \(\vert p'_{k}q_{k}\vert \le l^{i} \le \vert p'_{j}p_{j}\vert \) for all \(1\le k\le m\) and \(\vert p'_{k}q_{k}\vert = \vert p'_{k}p_{k}\vert \) for all \(k>m\). Therefore, \(\Vert p'q\Vert _{\infty } \le \Vert p'p\Vert _{\infty }\), proving the other inequality in (52). \(\square \)
With this observation we demonstrate how to construct the extension from the mdimensional faces to the \(m+1\)dimensional faces.
Lemma 3.10
Fix \(i\in {\mathbb {N}}\), let \(D\subset {\mathcal {D}}(i+1)\) and let \(0\le m <n\). Let \(0<\beta < 1/(2 l^{i})\) and suppose that \(\iota :D\rightarrow C\) satisfies
for each \(p,p'\in D\) with \(\Vert pp'\Vert _\infty \le l^i\). Suppose that \({\mathcal {G}}\subset {\mathcal {Q}}(i)\) is such that
and
Then there exists an extension of \(\iota \) to
such that
for each \(p,p'\in D'\) with \(\Vert pp'\Vert _\infty \le l^{i}\).
Proof
Let \(Q\in {\mathcal {G}}\) and \(F\in {\mathcal {F}}(m+1,i)\) with \(F \subset Q\). By (54), \(\iota \) is defined on \(\partial F \cap {\mathcal {D}}(i+1)\). By (55) and the fact that \(\beta < 1/(2l^i)\), the hypotheses of Lemma 3.8 are satisfied. An application of Lemma 3.8 extends \(\iota \vert _{\partial F \cap {\mathcal {D}}(i+1)}\) to a map
such that
for each \(p,p'\in F \cap {\mathcal {D}}(i+1)\). We combine each of these extensions to form an extension of \(\iota \) to a map
ignoring any repetitions of faces that appear in multiple cubes.
Now let \(p,p' \in D'\) with \(\Vert pp'\Vert _{\infty } \le l^i\). If \(p,p'\in D\) then (56) holds for \(p,p'\) by hypothesis. Therefore, we may suppose that \(p \not \in D\). Let \(Q\in {\mathcal {G}}\) with \(p\in Q\) and \(F\in {\mathcal {F}}(m+1,i)\) with \(p\in F\subset {\text {skel}}(Q,m+1)\). If \(p'\in F\) then (57) implies (56) for \(p,p'\). Otherwise, let \(q\in \partial F\cap {\mathcal {D}}(i+1)\) be given by Observation 3.9 such that
If \(p'\not \in D\), let \(Q'\in {\mathcal {G}}\) and \(F'\in {\mathcal {F}}(m+1,i)\) with \(p'\in F' \subset {\text {skel}}(Q',m+1)\) and let \(q'\in \partial F' \cap {\mathcal {D}}(i+1)\) be given by Observation 3.9 such that
If \(p' \in D\) let \(q'=p'\). In either case, we have \(\Vert qq'\Vert _{\infty },\Vert pp'\Vert _\infty \le l^{i}\) and so (53) implies
Further, (57) implies
and
Therefore, the triangle inequality gives
as required. \(\square \)
Recall \(\sigma =(5K^2)^n\) is defined in Notation 3.5. We now iterate the construction in Lemma 3.10 to obtain an extension to ndimensional cubes.
Lemma 3.11
Fix \(i\in {\mathbb {N}}\), let \(D\subset {\mathcal {D}}(i)\) and let
Suppose that \(\iota :D\rightarrow C\) satisfies
for each \(p,p'\in D\) with \(\Vert pp'\Vert _\infty \le l^i\). Suppose also that \({\mathcal {G}}\subset {\mathcal {Q}}(i)\) is such that \({\text {cor}}({\mathcal {G}}) \subset D\) and
Then there exists an extension of \(\iota \) to
such that
for each \(p,p'\in D'\) with \(\Vert pp'\Vert _\infty \le l^{i}\).
Proof
First note that, since \({\text {cor}}({\mathcal {G}})\subset D\), (54) holds for \(m=0\). Since (60) implies (55), we may apply Lemma 3.10 to obtain an extension of \(\iota \) to
such that
for each \(p,p'\in D_1\) with \(\Vert pp'\Vert _\infty \le l^i\).
Now notice that,
Since
we may apply Lemma 3.10 again, but with \(\beta \) replaced by \((5K^2)\beta \) and with \(m=1\). This gives an extension of \(\iota \) to
such that
for each \(p,p'\in D_2\) with \(\Vert pp'\Vert _\infty \le l^i\). Thus, the hypotheses of Lemma 3.10 are satisfied again, with \(\beta \) replaced by \((5K^2)^2\beta \) and with \(m=2\).
Since \(\beta < 1/(2(5K^2)^nl^i)\), we repeat this for a total of n times, extending \(\iota \) to
such that
for each \(p,p'\in D'\) with \(\Vert pp'\Vert _\infty \le l^i\). \(\square \)
3.2 Constructing the extension to all scales
In Lemma 3.11 we demonstrated how to extend a function from some \(D\subset {\mathcal {D}}(i)\) to \(D'\subset {\mathcal {D}}(i+1)\). We now iterate this extension over all \(i\in {\mathbb {N}}\).
Note that, in items 4 and 5 of the following lemma, the radius of the ball in item 4 and the upper bound in item 5 are of the form \((\sigma l)^m\), up to some constant multiple. In (44) we chose \(\alpha \) so that \((\sigma l) = l^{\alpha }\), so both of these quantities are comparable to \(l^{\alpha m}\). In particular, item 5 implies that each \(\iota _i\) is \(\alpha \)Hölder with the same Hölder constant. The fact that these two quantities have the same power of \(\alpha \) is an essential requirement for the construction given in this section to work; looking ahead to Proposition 3.15, this is exactly the condition required so that we can bound \({\mathcal {H}}^n_\infty (\iota ([0,1]^n)\setminus C)\) in (74). Looking behind, we see that the two powers agree because of Lemma 3.7.
Lemma 3.12
Let \(M\in {\mathbb {N}}\) with \(M > \alpha /2\) , \(0\le L\le \sigma ^{M}\) and suppose that
is LLipschitz. For each \(i \ge M\) there exist \({\mathcal {G}}_i,{\mathcal {B}}_i\subset {\mathcal {Q}}(i)\) such that
and a function
such that:

1.
\(\iota _{i+1}\) is an extension of \(\iota _{i}\);

2.
\({\text {child}}({\mathcal {G}}_i) = {\mathcal {G}}_{i+1}\cup {\mathcal {B}}_{i+1}\)

3.
For each \(Q\in {\mathcal {G}}_i\), there exists \(x\in G\) with
$$\begin{aligned} \iota _i({\text {cor}}(Q)) \subset B(x,2L\sigma ^{iM} l^i);\end{aligned}$$ 
4.
For all \(p\in {\text {cor}}({\mathcal {B}}_{i})\),
$$\begin{aligned} B(\iota _{i}(p),L \sigma ^{iM} l^{i}) \cap G =\emptyset , \end{aligned}$$ 
5.
For each \(p,p'\in {\text {dom}}\iota _{i}\) with \(\Vert pp'\Vert _\infty \le l^{i1}\),
$$\begin{aligned} d(\iota _{i}(p), \iota _{i}(p')) \le L\sigma ^{iM} \Vert pp'\Vert _\infty . \end{aligned}$$Here and throughout, \({\text {dom}}\iota _{i}\) denotes the domain of \(\iota _i\).
Proof
We prove the lemma by induction. To begin, for \(\beta :=L\), let
be given by Lemma 3.7 for \(\iota =\iota _M\) and \(i=M\). Then \(\iota _M,{\mathcal {G}}_M,{\mathcal {B}}_M\) satisfy the required conditions.
Now suppose that \(\iota _{i}, {\mathcal {G}}_{i}\) and \({\mathcal {B}}_M,\ldots ,{\mathcal {B}}_{i}\) exist for some \(i \ge M\). We first apply Lemma 3.11 to \(\iota _{i}\) and \({\mathcal {G}}_i\) and begin by checking that the required hypotheses are satisfied. Since \(L\le \sigma ^{M}\), (46) implies
and so (58) holds. By induction hypothesis, item 5 implies (59) for this choice of \(\beta \). Also, item 3 implies \({\mathcal {G}}_i\) satisfies (60). An application of Lemma 3.11 constructs an extension of \(\iota _{i}\) to
such that, for each \(p,p'\in {\text {dom}}\iota _{i+1}\) with \(\Vert pp'\Vert _\infty \le l^{i}\),
Equation (64) implies that \({\mathcal {Q}}={\text {child}}({\mathcal {G}}_i)\) satisfies the hypothesis of Lemma 3.7 with \(\beta := L \sigma ^{i+1M}\). Let
be the decomposition given by Lemma 3.7, so that item 2 is satisfied and so that \({\mathcal {G}}_{i+1}\) satisfies item 3 and \({\mathcal {B}}_{i+1}\) satisfies item 4 for \(i=i+1\). Note that (62) for i combined with (65) implies (62) for \(i+1\). Thus the required \(\iota _{i+1},{\mathcal {G}}_{i+1}\) and \({\mathcal {B}}_{i+1}\) exist and so the lemma is true by induction. \(\square \)
We now prove, by induction on \(i\in {\mathbb {N}}\), a local Lipschitz bound on each \(\iota _i\) (with a Lipschitz constant that depends on i). Afterwards, this will be upgraded to uniform Hölder continuity.
Lemma 3.13
Let \(M\in {\mathbb {N}}\) with \(M > \alpha /2\) , \(0\le L\le \sigma ^{M}\) and suppose that
is LLipschitz. For each \(i\ge M\) let \(\iota _i,{\mathcal {G}}_i\) and \({\mathcal {B}}_i\) be obtained from Lemma 3.12. Then for any \(i\ge M\), \(j\in {\mathbb {N}}\) and \(p, q\in {\text {dom}}\iota _i\) with \(p,q\in Q\in {\mathcal {Q}}(j)\),
Proof
First note that, if \(i=j\), (66) follows from Lemma 3.12 item 5 and if \(j>i\) then \(p=q\), so that (66) holds. To prove (66) for the case \(i>j\ge M\), we will prove that
holds for all \(i>M\) and all \(i>j\ge M\) by induction on i. Equation (66) then follows because the geometric series converges by (46).
Note that (67) holds for \(i=M+1\) and \(j=M\) since \(\iota _M\) is LLipschitz. Now let \(i> M+1\), and suppose that (67) holds for \(i1\) and all \(i1> j\ge M\). Let \(i>j\ge M\) and \(p, q\in {\text {dom}}\iota _i\) with \(p,q\in Q\in {\mathcal {Q}}(j)\). If neither of p or q belong to \({\text {cor}}({\mathcal {G}}_{i}\cup {\mathcal {B}}_i)\), then they both belong to \({\text {dom}}\iota _{i1}\). If \(j=i1\) then Lemma 3.12 item 5 for \(i1\) implies (67) for i since \(\iota _{i}\) extends \(\iota _{i1}\). If \(j<i1\) then the induction hypothesis implies (67) for i. Therefore, we may suppose \(p \in {\text {cor}}(Q^*)\) for some \(Q^* \in {\mathcal {G}}_{i}\cup {\mathcal {B}}_i\).
Note that Lemma 3.12 item 2 implies that there exists \(Q'\in {\mathcal {G}}_{i1}\) with \(Q^*\subset Q'\). Let \(p'\in {\text {cor}}(Q')\subset {\text {dom}}\iota _{i1}\), so that \(\Vert pp'\Vert _\infty \le l^{i1}\). By Lemma 3.12 item 5
Note also that, since \(Q'\in {\mathcal {Q}}(i1)\) and \(Q\in {\mathcal {Q}}(j)\) with \(j\le i1\), we must have \(Q'\subset Q\). Thus, since \(p',q\in Q\), the induction hypothesis implies
Using the fact that \(\iota _i\) extends \(\iota _{i1}\), we may combine Eqs. (68) and (69) using the triangle inequality to get
completing the induction step. \(\square \)
Recall from (45) that \(\sigma l =l^\alpha \). We now show that the limit of the \(\iota _i\) is \(\alpha \)Hölder. As mentioned before Lemma 3.12, it is essential that the exponent of \(l^i\) appearing in item 3 in the following lemma equals \(\alpha \) in order to deduce (74).
Lemma 3.14
Let \(M\in {\mathbb {N}}\) with \(M > 2/\alpha \), \(0 \le L \le \sigma ^{M}\) and let \(\iota :{\mathcal {D}}(M) \rightarrow C\) be LLipschitz. There exist a closed set \(S \subset [0,1]^n\) with \(S\supset {\mathcal {D}}(M)\), an extension of \(\iota \) to
and, for each \(i \ge M\), a set \({\mathcal {B}}_i \subset {\mathcal {Q}}(i)\) such that:

1.
\(\iota \) is \(\alpha \)Hölder continuous with Hölder constant \(5L l^{\alpha }\).

2.
$$\begin{aligned}{}[0,1]^n = S \cup \bigcup _{i \ge M} \bigcup {\mathcal {B}}_i \end{aligned}$$

3.
For each \(i \ge M\) and each \(p\in {\text {cor}}({\mathcal {B}}_i)\), \(p\in S\) and
$$\begin{aligned} B(\iota (p), L \sigma ^{M} l^{\alpha i})\cap G=\emptyset . \end{aligned}$$
Proof
Set \(\iota _M=\iota \) and for each \(i\ge M\) let \({\mathcal {G}}_i,{\mathcal {B}}_{i}\) and \(\iota _i\) be obtained from Lemma 3.12. Set \(S' = \cup _{i\ge M} {\text {dom}}\iota _i\) and define \(\iota \) on \(S'\) by \(\iota (x)=\iota _i(x)\) whenever \(x\in {\text {dom}}\iota _i\). Let \(p,p'\in S'\), let \(i\in {\mathbb {N}}\) be sufficiently large such that \(p,p'\in {\text {dom}}\iota _i\) and let \(m\in {\mathbb {N}}\) be such that \(l^{m+1} < \Vert pp'\Vert _\infty \le l^m\).
If \(m<M\), let \(Q,Q'\in {\mathcal {Q}}(M)\) be such that \(p\in Q\) and \(p'\in Q'\) and let \(q\in {\text {cor}}(Q)\) and \(q'\in {\text {cor}}(Q')\) minimise the distance between \({\text {cor}}(Q)\) and \({\text {cor}}(Q')\), so that \(\Vert qq'\Vert _\infty \le l^m\). Then by combining (66), the fact that \(\iota \) is LLipschitz, and using the triangle inequality
If \(m\ge M\), let \(p\in Q \in {\mathcal {Q}}(m)\) and \(p'\in Q'\in {\mathcal {Q}}(m)\). Since \(\Vert pp'\Vert _\infty \le l^m\), Q and \(Q'\) have a common corner q and hence \(\Vert pq\Vert _\infty , \Vert p'q\Vert _\infty \le l^m\). Thus the triangle inequality and (66) give
using the fact that \(M\ge 2\) in the final inequality.
Equations (45), (70) and (71) show that
That is, \(\iota \) is \(\alpha \)Hölder with constant \(5Ll^{\alpha }\). This also implies that \(\iota \) maps into \(B(\iota (0),5L)\).
Let S be the closure of \(S'\) and extend \(\iota \) to S maintaining the Hölder bound. Since C is closed, this extension maps into \(C \cap B(\iota (0),5L)\). For each \(i \ge M\), (62) implies
For each \(i\in {\mathbb {N}}\), \({\text {cor}}({\mathcal {G}}_i) \subset {\text {dom}}\iota _i \subset S\) and so \(\cup {\mathcal {G}}_i \subset B(S,l^i)\). Since S is compact this implies
Thus, intersecting (73) over all \(i\ge M\) gives item 2.
Finally, Eq. (45) and Lemma 3.12 item 4 and imply item 3. \(\square \)
We now extend the map \(\iota \) to \([0,1]^n\), assuming X is a subset of \(\ell _\infty \). This will implicitly construct the metric space \({\tilde{E}}\) mentioned in the introduction. Since we have constructed \(\iota \) to be Hölder continuous, this can be done using Theorem 2.6. The Hölder condition is also used (in combination with (35)) to deduce (74) from Lemma 3.14 item 3.
Proposition 3.15
Let \(M\in {\mathbb {N}}\) with \(M>2/\alpha \), \(0\le L\le \sigma ^{M}\) and let \(\iota :{\mathcal {D}}(M) \rightarrow C\) be LLipschitz. Suppose that X is a subset of \(\ell _\infty \). There exists an \(\alpha \)Hölder extension \(\iota :[0,1]^n \rightarrow B(\iota (0),10L)\) with Hölder constant \(5L l^{\alpha }\) such that
Proof
First apply Lemma 3.14 to find a closed \(S\subset [0,1]^n\) and extend \(\iota \) to an \(\alpha \)Hölder map
Then apply Theorem 2.6 to extend \(\iota \) to an \(\alpha \)Hölder map
maintaining the Hölder constant of \(5L l^{\alpha }\). In particular, since \({\mathcal {D}}(M)\subset S\) and \(M>2/\alpha \), this extension maps into \(B(\iota (0),10L)\).
Since \(\iota (S)\subset C\), we deduce (74) by estimating the Hausdorff content of
where the \({\mathcal {B}}_i\) are as in Lemma 3.14 item 4. That is, for each \(i \ge M\), \({\mathcal {B}}_i \subset {\mathcal {Q}}(i)\) and, for each \(p\in {\text {cor}}({\mathcal {B}}_i)\), \(p\in S\) and
Since \(\iota \) is \(\alpha \)Hölder with constant \(5L l^{\alpha }\),
That is, if
then
Let \({\mathcal {A}}'\) be a disjoint 5rsubcover of \({\mathcal {A}}\), so that the elements of \({\mathcal {A}}'\) are pairwise disjoint and
In particular,
For each \(i \ge M\) and \(p\in {\text {cor}}({\mathcal {B}}_i)\), \(\iota (p)\in C\) and so Definition 3.2 item 1 implies
whenever \(r \le 1\). In particular, this is true for all balls in \({\mathcal {A}}'\). Therefore, by (78) and the disjointness of the balls in \({\mathcal {A}}'\),
Combining this with (77) gives
as required. \(\square \)
To conclude the section, we record the main conclusion without the fixed quantities of Notation 3.5. Recall, for \(m\in {\mathbb {N}}\) and \(R>0\), that
Theorem 3.16
For any \(K \ge 1\), \(0<\gamma <1\) and \(\eta >0\) there exists \(N\in {\mathbb {N}}\) and \(\gamma \le \alpha <1\) such that the following is true. For any closed \(X\subset \ell _\infty \) and for any \(R_0 >0\), let (X, C, G) satisfy
Then for any \(M\in {\mathbb {N}}\) with \(M>2/\alpha \), \(0< r<R_0\), \(0 \le L \le (5K^2)^{M}\) and any LLipschitz
there exists an \(\alpha \)Hölder extension
with Hölder constant \(5L 2^{N\alpha }r^{1\alpha }\) such that
for some \(\Lambda >0\) depending only upon \(K,\gamma ,M,n,\eta \).
Proof
Given \(K,\gamma ,\eta \) as in the hypotheses, let \(N\in {\mathbb {N}}\) and \(\gamma \le \alpha <1\) be given by (44). For any (X, C, G) satisfying (79) and any \(0<r<R_0\), let \(C'= C/r\) and \(G' = G/r\), considered as subsets of \(X'=X/r \subset \ell _\infty \). Then \((X',C',G')\) satisfies \(GTA(\eta ,K,2^{N}/20,1)\). Define \(\iota ' :{\mathcal {D}}(1,MN) \rightarrow C'\) by \(\iota '(q) = \iota (rq)/r\). Then \(\iota '\) is also LLipschitz. An application of Proposition 3.15 gives an \(\alpha \)Hölder extension of \(\iota '\) with Hölder constant \(5L2^{N\alpha }\) satisfying
for \(\Lambda = (20 (5K)^{2M} 2^{\alpha N})^n/\eta \). This gives an \(\alpha \)Hölder extension of \(\iota \) defined by \(\iota (q)=r\iota '(q/r)\) with Hölder constant \(5L2^{N\alpha } r^{1\alpha }\):
Equation (81) is equivalent to (80). \(\square \)
Finally, we conclude the proof of Theorem 3.4
Proof of Theorem 3.4
The hypotheses of Theorem 3.4 imply the hypotheses of Theorem 3.16. Let \(N,\alpha \) be obtained from Theorem 3.16 and let \(m_0=2N\). If (X, C, G) satisfies (40) and \(x\in G\) then by Observation 3.3, there exists a \((K+2^{m})\)biLipschitz \(\xi :{\mathcal {D}}(r,m)\rightarrow C\) with \(\xi (0)=x\). Since (X, C, G) also satisfies (79), Theorem 3.16 with \(M=2\) gives an \(\alpha \)Hölder extension \(\iota :[0,r]^n\rightarrow B(x,20Kr)\) with Hölder constant \(10K2^{N\alpha }r^{1\alpha }\) satisfying items 1 and 3 of Theorem 3.4. Since \(\gamma \le \alpha <1\), \(\iota \) is also \(\gamma \)Hölder. Moreover, if \(y,z\in [0,r]^n\) with \(\Vert yz\Vert _\infty \le 2^{m}r\) then
giving item 2. \(\square \)
Remark 3.17
If, in the hypotheses of Theorem 3.16 or Theorem 3.4, X is assumed to be a subset of a finite dimensional Banach space \(({\mathbb {R}}^m,\Vert \cdot \Vert )\), then the Hölder map \(\iota \) can be constructed with values in \(({\mathbb {R}}^m,\Vert \cdot \Vert )\). One simply uses Theorem 2.6 to extend the map into \(({\mathbb {R}}^m,\Vert \cdot \Vert )\), increasing the Hölder constant by a factor that only depends on the norm \(\Vert \cdot \Vert \).
Remark 3.18
At this point it would be reasonable to prove Theorem 1.1 using Theorem 3.4 and Corollary 6.4. However, there are various technical steps that are simply easier to deal with using \(d_{*}\). Thus we delay the proof until after the proof of Theorem 1.2.
4 Metrics between metric measure spaces
4.1 The pointed measured Gromov–Hausdorff metric
Recall the definition of \(G_{a,b}\) given in Definition 2.19. We use the following metric to describe pointed measured Gromov–Hausdorff convergence.
Definition 4.1
For pointed metric measure spaces \((X,\mu ,x)\) and \((Y,\nu ,y)\) define
Note that \(d_{\mathrm {pmGH}}\) is bounded below by \(d_{\mathrm {pGH}}\) of the corresponding pointed metric spaces.
Remark 4.2
If one is only interested in metrising pointed measured Gromov–Hausdorff convergence, it is more natural to use \(F_z^1\) rather than \(F_z\) in the definition of \(d_{\mathrm {pmGH}}\). Doing so would not change the results of this subsection, except for minor superficial changes in Corollary 4.4. We use \(F_z\) to give the desired relationship to \(d_{*}\) in the next subsection.
We have the following relationship between \(\epsilon \)isometries and \(F\).
Lemma 4.3
Let \((Z,\zeta ,z)\) be a pointed metric measure space \(X,Y\subset Z\) Borel sets, \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\) and \(\nu \in {\mathcal {M}}_{\mathrm {loc}}(Y)\). For \(0<\epsilon <1/2\) suppose that \(f:X \cap B(z,1/\epsilon )\rightarrow Y\) is a Borel function that satisfies \(\zeta (f(x),x)\le \epsilon \) for all \(x\in X \cap B(z,1/\epsilon )\). Then for any \(0<r \le 1/\epsilon \epsilon \) and \(L>0\),
Proof
Let \(g:Z \rightarrow [1,1]\) be LLipschitz with \({\text {spt}}g \subset B(z,r)\). For any \(x\in B(z,1/\epsilon )\),
and so, since \(r\le 1/\epsilon \epsilon \),
However, \(x\in X\cap B(z,1/\epsilon )\setminus B(z,r+\epsilon )\) then \(x,f(x)\not \in {\text {spt}}g\) and so
Therefore,
Taking the supremum over all such g gives
Similarly,
as required. \(\square \)
Corollary 4.4
Let \((X,\mu ,x)\) and \((Y,\rho ,y)\) be pointed metric measure spaces and \(0<\epsilon <1/2\). If \(d_{\mathrm {pmGH}}((X,\mu ,x),(Y,\nu ,y))<\epsilon \), there exists a \(2\epsilon \)isometry \(f:(X,x) \rightarrow (Y,y)\) such that, for any \(0<r \le 1/\epsilon \epsilon \) and \(L>0\),
Conversely, if there exists an \(\epsilon \)isometry \(f:(X,\mu ,x) \rightarrow (Y,\nu ,y)\) then
is bounded above by the maximum of \(2\epsilon \) and
Proof
Let \((Z,\zeta ,z)\) be a pointed metric space for which there exist isometric embeddings \((X,x),(Y,y) \rightarrow (Z,z)\) with \(H_z(X,Y)<\epsilon \) and \(F_z(\mu ,\nu )<\epsilon \). Lemma 2.24 gives a \(2\epsilon \)isometry \(f:(X,x)\rightarrow (Y,y)\) such that \(\zeta (x',f(x'))\le \epsilon \) for all \(x'\in X\cap B(x,1/\epsilon )\). For any \(0<r\le 1/\epsilon \epsilon \), Lemma 4.3 implies (82).
Conversely, Lemma 2.24 gives a pointed metric space \((Z,\zeta ,z)\) and isometric embeddings \((X,x),(Y,y) \rightarrow (Z,z)\) such that \(\zeta (x',f(x'))\le 2\epsilon \) for all \(x'\in X\cap B(x,1/\epsilon )\) and \(H_z(X,Y)\le 2\epsilon \). Lemma 4.3 implies, for any \(0<r\le 1/2\epsilon \),
Thus
Taking the infimum over all \(0<r\le 1/\epsilon \epsilon \) completes the proof. \(\square \)
Definition 4.5
An isometry \((X,\mu ,x)\rightarrow (Y,\nu ,y)\) of pointed metric measure spaces is an isometry \((X,x)\rightarrow (Y,y)\) with \(\mu = \nu \).
Corollary 4.6
On the set \({\mathbb {M}}_{pm}\) of isometry classes of proper pointed metric measure spaces, \(d_{\mathrm {pmGH}}\) is a complete and separable metric.
Proof
By Proposition 2.20 we know \(d_{\mathrm {pmGH}}\) is a complete pseudometric. It is easily verified that the set of finite pointed metric spaces with rational distances and rational combinations of Dirac masses is dense. By Corollary 2.25, any complete limit of proper pointed metric spaces is also proper.
Let
By Corollary 4.4, for each \(i\in {\mathbb {N}}\) there exists a 1/iisometry \(f_i:(X,x)\rightarrow (Y,y)\) such that, for any \(L,r>0\),
Fix \(r>0\). As in the proof of Corollary 2.25, for each \(j\in {\mathbb {N}}\) let \({\mathcal {N}}_j\) be a finite 1/jnet of B(x, r). By taking a subsequence, we may suppose the \(f_i\) converge pointwise to an isometry \(\iota \) when restricted to \(\cup _j{\mathcal {N}}_j\) whose image is a dense subset of B(y, r). We extend \(\iota \) to an isometry \(\iota :B(x,r)\rightarrow B(y,r)\).
For a moment fix \(i,j\in {\mathbb {N}}\). For any \(w\in B(y,r)\) let \(z\in {\mathcal {N}}_j\) with \(w \in B(z,1/j)\). Since \(f_i\) is an \(\epsilon _i\)isometry and \(\iota \) is an isometry,
Thus, for any rLipschitz \(g:Y\rightarrow [1,1]\) with \({\text {spt}}g\subset B(y,r)\),
Consequently,
and so
Since this is true for all \(j\in {\mathbb {N}}\), (83) gives \(F^{r,r}_y(\iota _{\#}\mu ,\nu )=0\) for all \(r>0\). Thus Lemma 2.14 implies \(\iota _{\#}\mu =\nu \). Consequently, \(d_{\mathrm {pmGH}}\) is a metric on \({\mathbb {M}}_{pm}\). \(\square \)
Corollary 4.7
A set \({\mathcal {S}} \subset ({\mathbb {M}}_{pm},d_{\mathrm {pmGH}})\) is precompact if and only if

1.
\(\{(X,x): (X,\mu ,x)\in {\mathcal {S}}\} \subset ({\mathbb {M}}_p,d_{\mathrm {pGH}})\) is precompact and

2.
For every \(r>0\), \(\{\mu (B(x,r)): (X,\mu ,x)\in {\mathcal {S}}\}\) is bounded.
Proof
Suppose that \({\mathcal {S}}\) satisfies items 1 and 2 and, for each \(i\in {\mathbb {N}}\), let \((X_i,\mu _i,x_i)\in {\mathcal {S}}\). After passing to a subsequence, there exists a proper pointed metric space (X, x) such that
for each \(i\in {\mathbb {N}}\). By Lemma 2.24, for each \(i\in {\mathbb {N}}\) there exists a 1/iisometry \(f_i:(X_i,x_i)\rightarrow (X,x)\). Item 2 and Theorem 2.11 imply, after passing to a further subsequence, that \((f_i)_{\#}\mu _i\) converges to some measure \(\mu \) on X. Corollary 4.4 then implies
The converse statement is immediate. \(\square \)
4.2 Gromov–Hausdorff convergence of large subsets
Gromov–Hausdorff convergence of pointed metric measure spaces is used throughout analysis. However, the requirement that the underlying metric spaces must Gromov–Hausdorff converge is too rigid for some uses in geometric measure theory. For example, it requires that every sequence of null sets must Gromov–Hausdorff converge to some limit.
For a concrete example, consider the following.
Example 4.8
Let \(X=\{0,1\}\) with \(d(0,1)=1\) and for each \(i\in {\mathbb {N}}\) let \(\mu _i(\{0\})=1\) and \(\mu (\{1\})=1/i\). Then the sequence \((X,d,\mu _i,0)\) Gromov–Hausdorff converges to \((X,d,\delta _0,0)\) but not to \((\{0\},\delta _0,0)\), which is the more natural choice. That is, Gromov–Hausdorff convergence may require one to consider a larger metric space than simply the support of the limit measure.
For each \(i\in {\mathbb {N}}\) let \(X_i\) be an ipoint metric space including a point 0, equipped with the discrete metric \(d_i\). Then the sequence \((X_i,d_i,\delta _0,0)\) has no Gromov–Hausdorff limit, even though a one point metric space with a Dirac measure is the natural candidate from a measure theoretic point of view.
To construct a 1rectifiable metric space with no Gromov–Hausdorff tangents at any point, one takes an isometric copy of an interval and scatters “dust” around it at all scales as in the previous example.
Rather than Gromov–Hausdorff convergence we will use the following.
Definition 4.9
For pointed metric measure spaces \((X,\mu ,x)\) and \((Y,\nu ,y)\) define
Note that \(d_{*}\le d_{\mathrm {pmGH}}\). Also, for any Borel \(x\in S\subset X\), (18) implies
Although \(d_{*}\) does not require the underlying sets to be close in the sense of \(d_{\mathrm {pGH}}\), we can recover large subsets which are.
Lemma 4.10
Let (Z, z) be a complete pointed metric space and \(\mu ,\nu \in {\mathcal {M}}_{\mathrm {loc}}(Z)\). For any \(r,\epsilon ,\delta >0\) there exist compact sets
with
and
Proof
There exist compact
with
Let
a relatively open set in \(K'_\mu \), and define \(g:Z \rightarrow [0,1]\) by
Then g is \(1/\epsilon \)Lipschitz with \({\text {spt}}g \subset B(z,r)\). By construction,
and
Therefore,
by (87). Define
a compact set, and, by Eqs. (87) and (88),
Also, by (89),
By the symmetric argument, the compact set
satisfies
and
Finally, if \(x\in K_\mu \cap U(z,r\epsilon )\), let \(y\in K'_\nu \) with \(x\in B(y,\epsilon )\). Then \(y\in B(K'_\mu ,\epsilon )\) and so \(y\in K_\nu \). Thus
Similarly,
Thus \(H_z(K_\mu ,K_\nu )\le \max \{1/(r\epsilon ),\epsilon \}\). Therefore, \(K_\mu ,K_\nu \) have the required properties with \(\delta \) replaced by \(2\delta \). Since \(\delta >0\) is arbitrary, this suffices. \(\square \)
Theorem 4.11
For \(\epsilon >0\) let \((X,\mu ,x)\) and \((Y,\nu ,y)\) be pointed metric measure spaces with
There exist compact
such that
and
Conversely, if there exist compact \(K_\mu ,K_\nu \) as in (92) satisfying (93) and
then
That is, \(d_{*}\) is biLipschitz equivalent to the metric defined by taking the infimum over all \(0<\epsilon <1/2\) for which Eqs. (93) and (94) hold.
Proof
If \(\epsilon \ge 1/2\) there is nothing to prove. Otherwise, by the definition of \(d_{*}\), there exists a pointed metric space (Z, z) and isometric embeddings \((X,x),(Y,y)\rightarrow (Z,z)\) with \(F_z(\mu ,\nu )<\epsilon \).
Let \(\delta >0\) be such that \((1+\delta )F_z(\mu ,\nu )<\epsilon \) and let \(K_\mu \) and \(K_\nu \) be obtained from Lemma 4.10, so that (93) is satisfied. Then (86) implies
Finally, Eqs. (18) and (93) and the triangle inequality imply
Thus (94) is established.
Conversely, by (84) and the triangle inequality,
\(\square \)
Working with measures allows us to take limits of \(\epsilon \)isometries (see also [26, Proposition 3.2], which shows the compactness of the set of isometries).
Lemma 4.12
Let \((X,d,\mu ,x)\) and \((Y,\rho ,\nu ,y)\) be pointed metric measure spaces. Suppose that, for each \(i\in {\mathbb {N}}\), there exists a Borel set \(x\in S_i\subset X\) with
and a 1/iisometry \(f_i:S_i\rightarrow S'_i\subset Y\)such that
Then there exists an isometry \(\iota :({\text {spt}}\mu \cup \{x\},\mu ,x)\rightarrow ({\text {spt}}\nu \cup \{y\},\nu ,y)\).
Proof
By the inner regularity of \(\mu \), we may suppose each \(S_i\) is compact. For each \(i\in {\mathbb {N}}\) and \(w\in S_i\), let \(g_i(w)=(w,f_i(w))\in X\times Y\) and define
By Theorem 2.11, after passing to a subsequence, we may suppose that \((g_i)_{\#}(\mu \vert _{S_i})\) converges to some measure \(\lambda \in {\mathcal {M}}_{\mathrm {loc}}(X\times Y)\). Note that the pushforward of \(\lambda _i\) to X under the projection map is \(\mu \vert _{S_i}\). By (96) the projection of \({\text {spt}}\lambda \) to X has full \(\mu \) measure and by (97) the projection of \({\text {spt}}\lambda \) to Y has full \(\nu \) measure.
If \((x^1,y^1)\in {\text {spt}}\lambda \) then there exist \(x^1_i\in S_i\) with \(g_i(x^1_i)\rightarrow (x^1,y^1)\). Indeed, if not then there exist \(r>0\) and \(i_k\rightarrow \infty \) such that
contradicting the convergence of \(\lambda _i\) to \(\lambda \) using (14). In particular, if \((x^1,y^1),(x^2,y^2)\in {\text {spt}}\lambda \), there exist \(x^1_i,x_i^2\in S_i\) with \((x^1_i,f_i(x^1_i)) \rightarrow (x^1,y^1)\) and \((x^2_i,f_i(x_i^2)) \rightarrow (x^2,y^2)\). Since each \(f_i\) is a 1/iisometry, this implies
That is, \({\text {spt}}\lambda \) lies on the graph of an isometry. This isometry is defined \(\mu \) almost everywhere and maps onto a set of full \(\nu \)measure. Since Y is complete, \(\iota \) can be extended to an isometry of \({\text {spt}}\mu \) to \({\text {spt}}\nu \), as required. \(\square \)
Corollary 4.13
Let \({\mathbb {M}}_*\) be the set of equivalence classes of all pointed metric measure spaces under the relation
Then \(({\mathbb {M}}_*,d_{*})\) is a complete and separable metric space.
Proof
Proposition 2.20 implies \(d_{*}\) is a complete pseudometric on the set of all pointed metric measure spaces. It is easily verified that the set of finite pointed metric spaces with rational distances and rational combinations of Dirac masses is dense.
We next show that \(d_{*}\) is well defined on \({\mathbb {M}}_*\). Indeed, if \((X,d,\mu ,x)\sim (Y,\rho ,\nu ,y)\), let
be an isometry of pointed metric measure spaces. Define \(\zeta \) on \(X\sqcup Y\) by \(\zeta =d\) on X, \(\zeta =\rho \) on Y and
whenever \(x\in X\) and \(y\in Y\). A similar argument to Lemma 2.24 shows that \(\zeta \) is a pseudometric on \(X\sqcup Y\). Indeed, if \(z,z'\in X\) and \(t\in Y\) then for any \(w,w'\in {\text {spt}}\mu \cup \{x\}\), the triangle inequality for d and \(\rho \) and the fact that f is an isometry implies
Taking the infimum over \(w,w'\in {\text {spt}}\mu \cup \{x\}\) gives \(\zeta (z,z')\le \zeta (z,t)+\zeta (t,z')\). A similar argument for \(z,z'\in Y\) and \(t\in X\) gives the triangle inequality for \(\zeta \). Note that \(\zeta (x,f(x))=0\) for all \(x\in {\text {spt}}\mu \cup \{x\}\).
Let \((Z,\zeta )\) be the metric space obtained from \((X\sqcup Y,\zeta )\) and let \(z\in Z\) be the point corresponding to \(x=y\). Then (X, x) and (Y, y) isometrically embed into (Z, z) and, since f is an isometry of metric measure spaces, the pushforwards of \(\mu \) and \(\nu \) under these embeddings agree. In particular, \(F_z(\mu ,\nu )=0\) in Z and hence
That is, \(d_{*}\) is well defined on \({\mathbb {M}}_*\).
By combining Corollary 4.4, Lemma 4.12 and Theorem 4.11, any pointed metric measure spaces satisfying
are isometric. Hence \(d_{*}\) is a metric on \({\mathbb {M}}_*\). \(\square \)
When considering \((X,\mu ,x)\in {\mathbb {M}}_*\), the set \(X\setminus ({\text {spt}}\mu \cup \{x\})\) often plays no role. In such cases, to simplify notation, we will write \((\mu ,x)\) for the element of \({\mathbb {M}}_*\).
Remark 4.14
Sturm [14] defines a metric on the set of metric measure spaces equipped with a probability measure with finite variance. Greven, Pfaffelhuber and Winter [15] define the Gromov–Prokhorov metric on the set of compact metric measure spaces equipped with a probability measure. The definitions of the metrics are analogous to that of \(d_{*}\), but use the \(L_2\) transportation distance and the Prokhorov metric respectively in place of \(F\) and there are no requirements imposed on a distinguished point. In this setting, one can slightly modify the definition of \(d_{*}\) to not make any requirements on a distinguished point, or modify the definitions of [14] or [15] to consider a distinguished point. After doing so, since \(F\), the \(L_2\) transportation distance and the Prokhorov metric all metrise weak* convergence in the respective settings, the metrics all define the same topology whenever they are defined.
Gigli, Mondino and Savaré [26] define a notion of convergence on the set of pointed metric measure spaces by \((X_i,\mu _i,x_i) \rightarrow (X,\mu ,x)\) if there exist a complete and separable metric space Z and isometric embeddings \({\text {spt}}\mu _i,{\text {spt}}\mu \rightarrow Z\) with \(x_i\rightarrow x\) and \(\mu _i\rightarrow \mu \) in \({\mathcal {M}}_{\mathrm {loc}}(Z)\). By Proposition 2.20 we see that this definition agrees with convergence with respect to \(d_{*}\), using Lemma 2.22 to ensure that the distinguished points are mapped to the same point. Several equivalent definitions of this convergence for nonzero measures are given in [26, Theorem 3.15].
Shortly after a first version of the present paper appeared I became aware of Pasqualetto and Schultz [27]. Amongst other results, they prove a relationship between pointed measured Gromov–Hausdorff convergence and the convergence of [26]. This relationship corresponds to the relationship between \(d_{\mathrm {pmGH}}\) and \(d_{*}\) given by Theorem 4.11.
Theorem 4.15
A set \({\mathcal {S}}\subset ({\mathbb {M}}_*,d_{*})\) is precompact if and only if, for every \(\epsilon >0\) and \((\mu ,x)\in {\mathcal {S}}\), there exists a compact \(K_{\mu ,x}\subset B(x,1/\epsilon )\) with
such that
is precompact.
Proof
Let \((\mu _i,x_i)\) be a sequence in \({\mathcal {S}}\) and, for \(i,j\in {\mathbb {N}}\) let \(K_{i}^{j}\subset B(x_i,j)\) be as in (98) for \(\epsilon =1/j\). Let \({\mathcal {K}}(i,j)=(K_i^j,(\mu _i)\vert _{K_i^j},x_i)\). First note that (84) implies
and hence
By assumption, for each \(j\in {\mathbb {N}}\) there exists a \({\mathcal {K}}_j\in {\mathbb {M}}_{pm}\) and a subsequence \(i^j_k\) such that
By taking a diagonal subsequence, we may suppose that
Equation (100) then implies
Since \(({\mathbb {M}}_*,d_{*})\) is complete, \({\mathcal {K}}_j\) converges to some \((\mu ,x)\). Equation (99) and the triangle inequality then imply \((\mu _{i},x_{i})\) converges to \((\mu ,x)\).
Conversely, suppose that \({\mathcal {S}}\) is precompact but the conclusion does not hold. Note that, for any \(r>0\), the set \(\{\mu (B(x,r)): (\mu ,x)\in {\mathcal {S}}\}\) must be bounded. Therefore, there exist \(\delta ,\epsilon >0\) and, for each \(i\in {\mathbb {N}}\), a \((\mu _i,x_i)\in {\mathcal {S}}\) such that, for any \(K\subset {\text {spt}}\mu _i\cap B(x_i,1/\epsilon )\) with
K contains i points separated by distance at least \(\delta \). After passing to a subsequence, we may suppose that \((\mu _i,x_i)\) converges to some \((\mu ,x)\). By Proposition 2.20, there exists a complete and separable pointed metric space (Z, z) and isometric embeddings \(({\text {spt}}\mu _i\cup \{x_i\},x_i)\rightarrow (Z,z)\) with \(\mu _i\rightarrow \mu \). Theorem 2.11 implies that there exists a compact \(K\subset Z\) with \(\mu _i(B(z,r)\setminus K)\le \epsilon \) for all i, contradicting our initial assumption. \(\square \)
Remark 4.16
Theorem 4.15 implies [15, Proposition 7.1] and [26, Corollary 3.22]. The properties of \(d_{*}\) and its relationship to \(d_{\mathrm {pmGH}}\) allow for a simpler proof.
Lemma 4.17
For \(0<\delta <1\), \(0<\epsilon <1/2\), and \(k\ge 1\) let \(R>0\) satisfy
Suppose that \((X,\mu ,x)\) is a \(2^k\)doubling pointed metric measure space with \( \mu (B(x,R))\ge \delta \) and suppose that \(S\subset X\) satisfies
Then
Proof
For \(0<r<R\) suppose that \(w\in B(x,R)\setminus B(S,r)\). Then
and so
for \(m= \lceil \log _2 2R/r\rceil \). Therefore
and so
Combining this with (101) gives
so that
Since \(\mu (B(x,2R)\setminus S)<\epsilon \), (102) follows from (18). \(\square \)
We also note the following partial converse to the fact that \(d_{*}\le d_{\mathrm {pmGH}}\).
Corollary 4.18
For \(0<\delta <1\) and \(k\ge 1\) let \({\mathcal {S}}\) be the equivalence classes of those \(2^k\)doubling pointed metric measure spaces \((X,\mu ,x)\) with \(\mu (B(x,1))\ge \delta \). Then, when restricted to \({\mathcal {S}}\),
Proof
For \(0<\epsilon <1/2\) suppose that \((X,\mu ,x),(Y,\nu ,y)\in {\mathcal {S}}\) with
By Theorem 4.11, there exist compact \(K_\mu \subset B(x,\epsilon ^{1/2k})\) and \(K_\nu \subset B(y,\epsilon ^{1/2k})\) satisfying
and Eq. (94). Equation (104) and Lemma 4.17 (applied with \(R=\epsilon ^{1/2k}\), which satisfies (101) for \(\delta \le 1\)) imply that
are at most \(4\delta ^{\frac{1}{k}}\epsilon ^{\frac{1}{2k}}+\epsilon \). Therefore (94) and the triangle inequality imply (103). \(\square \)
5 Tangent spaces of metric measure spaces
With the notion of convergence defined in Sect. 4, we may define a tangent space following Preiss [5]. Given \((\mu ,d,x)\in {\mathbb {M}}_*\) with \(x\in {\text {spt}}\mu \) and \(r>0\), let
Definition 5.1
A \((\nu ,\rho ,y) \in {\mathbb {M}}_*\) is a tangent measure of \((\mu ,d,x)\in {\mathbb {M}}_*\) if there exist \(r_k\rightarrow 0\) such that
The set of all tangent measures of \((\mu ,d,x)\) will be denoted by \({\text {Tan}}(\mu ,d,x)\).
Remark 5.2
If \(X=\ell _2^m\) for some \(m\in {\mathbb {N}}\), any tangent measure is also supported on \(\ell _2^m\). In this case, \({\text {Tan}}(\mu ,x)\) consists of the equivalence classes of the tangent measures of Preiss.
By Corollary 4.18, \({\text {Tan}}(\mu ,x)\) agrees with the usual definition of Gromov–Hausdorff tangent spaces for doubling metric measure spaces.
Proposition 5.3
Let X be a metric space and let \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\) be asymptotically doubling. For \(\mu \)a.e. \(x\in {\text {spt}}\mu \) and every \(r_0>0\),
In particular, for any \(x\in {\text {spt}}\mu \) satisfying (105), \({\text {Tan}}(\mu ,x)\) is a nonempty compact metric space when equipped with \(d_{*}\) and
Proof
By Lemma 2.8, we know that we may cover \(\mu \) almost all of \({\text {spt}}\mu \) by
with \(m\in {\mathbb {N}}\). Fix an \(m\in {\mathbb {N}}\). By Theorem 2.10, \(\mu \) almost every \(x\in X_m\) is a Lebesgue density point of \(X_m\). Fix such an x. It suffices to prove the conclusion for x. To do so, fix \(R\ge 2\).
First note that, if \(R/(2m) \le r<r_0\) then
Here the subscripts on the balls indicate the metrics used to define the balls, for d the original metric in X. Also, if \(0<r< R/(2m)\) then
Thus
is bounded.
Secondly, for any \(\epsilon >0\), since x is a Lebesgue density point of \(X_m\), there exists \(r_1>0\) such that
for all \(0<r<r_1\). Let \(r_2=\min \{r_1,R/(2m)\}\). Also, let \(K\subset B(x,Rr_0)\) satisfy
Then for any \(r_2 \le r<R_0\),
Since K is compact, the metric spaces (K, d/r) with \(r_2 \le r<R_0\) are uniformly totally bounded. On the other hand, by Lemma 2.9, if \(0<r<r_2\) then
is covered by \(m^{4\log _2 \epsilon }\) balls of the form \(B_{d/r}(w_i,\epsilon )\). Thus
is uniformly totally bounded. Therefore, Theorem 4.15 proves (105).
Now let \(x\in {\text {spt}}\mu \) satisfy (105). By applying (105) to an arbitrary sequence \(r_i\rightarrow 0\) we see that \({\text {Tan}}(\mu ,x)\) is nonempty. To see that it is compact, for each \(j\in {\mathbb {N}}\) let \((\nu _j,y_j) \in {\text {Tan}}(\mu ,x)\) and let \(0<r_j < 1/j\) be such that
By (105) there exists a subsequence \(r_{j_k}\rightarrow 0\) and a \((\nu ,y)\in {\mathbb {M}}_*\) such that
In particular, \((\nu ,y)\in {\text {Tan}}(\mu ,x)\) and, by the triangle inequality, \((\nu _{j_k},y_{j_k}) \rightarrow (\nu ,y)\), as required. Finally, given \(\delta >0\), the existence of such an \(r_0\) is given by the contrapositive to (105). \(\square \)
Lemma 5.4
Let \((X,d,\mu )\) be a metric measure space and suppose that \({\mathcal {S}}\subset {\mathbb {M}}_*\). Then for any \(R,\delta >0\),
is a closed subset of X. In particular, if \(S\subset X\) is a Borel set of points satisfying (105) and \({\mathcal {C}}\subset {\mathbb {M}}_*\) is closed,
is Borel.
Proof
Let \(x\in X\) and \(x_j\in C_{R,\delta }({\mathcal {S}})\) with \(x_j \rightarrow x\). First note that, since \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X)\), all but countably many \(r>0\) satisfy
For such an \(r>0\), \(T_{r}(\mu ,d,x_j) \rightarrow T_r(\mu ,d,x)\). Indeed, Eqs. (14) and (15) imply that \(\mu (B(x_j,r)) \rightarrow \mu (B(x,r))\) and consequently Lemma 2.22 implies
Therefore
For arbitrary \(0<r<R\), let \(r_j\downarrow r\) satisfy (107). Then \(\mu (B(x,r_j))\rightarrow \mu (B(x,r))\) and so
(for any \(R>0\), the identity is a \((r_jr)R\)isometry on B(x, R)). Consequently (107) holds in this case too and hence \(C_{R,\delta }({\mathcal {S}})\) is closed.
If x satisfies (105) and \({\text {Tan}}(\mu ,d,x)\subset {\mathcal {C}}\) then by (106),
Conversely, if \({\mathcal {S}}\) is closed, (108) implies \({\text {Tan}}(\mu ,x)\subset {\mathcal {C}}\). Thus,
a Borel set. \(\square \)
We now prove three results that correspond results in Preiss [5]. The following statement, and its proof, is essentially that of [5, Theorem 2.12] reformulated in our setting. See also [28, 29] for adaptations to Gromov–Hausdorff tangent spaces and the appendix of [11] for an adaptation to tangents of sets of finite perimeter in RCD spaces.
Proposition 5.5
Let \((X,d,\mu )\) be an asymptotically doubling metric measure space. Then \(\mu \)a.e. \(x\in {\text {spt}}\mu \) has the following property:
Proof
For each \(p\in {\mathbb {N}}\) let \(A_{p}\) be the set of \(x\in {\text {spt}}\mu \) for which there are \((\nu _x,y_x)\in {\text {Tan}}(\mu ,x)\) and \(b_x\in {\text {spt}}\nu _x\) such that
Note that, if \(x\not \in \cup _{p\in {\mathbb {N}}}A_{p}\), then x satisfies the required conclusion.
Suppose that, for some \(p\in {\mathbb {N}}\), \(\mu (A_{p})>0\). Then by the separability of \(({\mathbb {M}}_*,d_{*})\), there exists a \(E\subset A_{p}\) with \(\mu (E)>0\) such that
for every \(x,y\in E\). By Theorem 2.10 there exists a Lebesgue density point x of E. Let \(r_k\rightarrow 0\) be such that \(T_{r_k}(\mu , x) \rightarrow (\nu _x,y_x)\). By Proposition 2.20 there exists a complete and separable pointed metric space \((Z,\zeta ,z)\) and isometric embeddings \(({\text {spt}}\mu ,d/r_k,x),({\text {spt}}\nu ,y_x) \rightarrow (Z,\zeta ,z)\) with
Let \(\mu _k\) be the isometric copy of \(\mu \in {\mathcal {M}}_{\mathrm {loc}}(X,d/r_k)\), let \(E_k\) be the isometric copy of \((E,d/r_k)\) and let \(c_k\in E_k\) be such that
Note that
Indeed, since x is a density point of E, if \(R=2\zeta (y_x,b_x)\) then
On the other hand, suppose that there exists \(\delta >0\) such that \(B(b_x,\delta )\cap E_k = \emptyset \) for infinitely many k. Equations (14) and (15) imply
since \(b_x\in {\text {spt}}\nu _x\). This contradicts (111).
Now, (110) implies \(\zeta (b_x,c_k)\rightarrow 0\). This and Lemma 2.22 imply
Therefore, there exists k with \(r_k<1/p\) such that
Thus, since each \(c_k\in E_k\),
a contradiction. Therefore we must have \(\mu (A_{p})=0\) for all \(p\in {\mathbb {N}}\). \(\square \)
Lemma 5.6
Let \((\mu ,x)\in {\mathbb {M}}_*\) with \(x\in {\text {spt}}\mu \) and
For every \((\nu ,y) \in {\text {Tan}}(\mu ,x)\) and \(r>0\),
and
In particular, if x satisfies (109), every \((\nu ,y)\in {\text {Tan}}(\mu ,x)\) is \(M_x\)doubling.
Proof
By Proposition 2.20 and Eqs. (14) and (15), for any \((\nu ,y)\in {\text {Tan}}(\mu ,x)\) there exist \(r_i\rightarrow 0\) such that, for any \(R>0\) and \(\lambda >1\),
and
Consequently,
Since this is true for all \(\lambda >1\) we also have
Also note that, by (15),
and by (14),
\(\square \)
Corollary 5.7
Let \((\mu ,d,x) \in {\mathbb {M}}_*\) and let \(S\subset {\text {spt}}\mu \) be \(\mu \)measurable with x a density point of S. Then
Proof
Combine (84) and the definition of \({\text {Tan}}\). \(\square \)
6 Proof of the main theorems
We first demonstrate how tangent measures supported on elements of \({\text {biLip}}(K)\) lead to a decomposition of the space into sets with good tangential approximation.
Define the projection \(\pi _1:{\mathbb {M}}_{pm}\rightarrow {\mathbb {M}}_p\) by
and \(\pi _2:{\mathbb {M}}_{pm}\rightarrow {\mathbb {M}}_*\) by
Both of \(\pi _1,\pi _2\) are 1Lipschitz.
For \(M\ge 1\) let
and \(S_2(M)\) be the set of those \((X,\mu ,x)\in {\mathbb {M}}_{pm}\) with
For \(K\ge 1\) let
Lemma 6.1
For any \(K,M\ge 1\),

1.
\({\text {biLip}}(K)\) is a compact subset of \(({\mathbb {M}}_p,d_{\mathrm {pGH}})\)

2.
\(S_1(M)\) and \(S_2(M)\) are closed subsets of \(({\mathbb {M}}_{pm},d_{\mathrm {pmGH}})\)

3.
\({\mathcal {K}}(K,M)\) is a compact subset of \(({\mathbb {M}}_{pm},d_{\mathrm {pmGH}})\) and hence a compact subset of \(({\mathbb {M}}_*,d_{*})\).
Proof
First note that the elements of \({\text {biLip}}(K)\) are proper and so do belong to \({\mathbb {M}}_p\). Moreover, for any \(r>0\), the set
is uniformly totally bounded and so, by Theorem 2.27, \({\text {biLip}}(K)\) is precompact.
To see that \({\text {biLip}}(K)\) is closed, for each \(i\in {\mathbb {N}}\) let \((X_i,x_i)\in {\text {biLip}}(K)\) and \((X,x)\in {\mathbb {M}}_p\) with
For each \(i\in {\mathbb {N}}\) let \(f_i:(X_i,x_i)\rightarrow (X,x)\) be a 2/iisometry given by Lemma 2.24. Also let \(\psi _i :\ell _\infty ^n \rightarrow X_i\) be surjective and KbiLipschitz and define
Fix \(R>0\). For any \(y,z\in B(0,R)\subset \ell _\infty ^n\),
Thus the \(\phi _i\) are equicontinuous on B(0, R). Since the \(\phi _i\) map into \(B(x,KR+2)\), a compact set, the Arzelà–Ascoli theorem gives a \(\phi :B(0,R) \rightarrow X\) such that, after passing to a subsequence, \(\phi _i\rightarrow \phi \) uniformly on B(0, R). Since this is true for all \(R>0\), by taking a diagonal subsequence, we see that there exists a \(\phi :\ell _\infty ^n\rightarrow X\) such that \(\phi _i\rightarrow \phi \) uniformly on bounded sets. A similar estimate to (115) shows that \(\phi \) is KbiLipschitz. Since each \(\phi _i\) is surjective and each \(f_i\) is a 2/iisometry, \(\phi \) is surjective. Thus \({\text {biLip}}(K)\) is closed, proving item 1.
Item 2 follows from Proposition 2.20 and Eqs. (14) and (15).
Item 3 follows since \({\mathcal {K}}(K,M)\) is precompact and closed in \(({\mathbb {M}}_{pm},d_{\mathrm {pmGH}})\) by Corollary 4.7 and items 1 and 2. \(\square \)
For \(K\ge 1\) let
Proposition 6.2
Let X be a complete metric space and \(S\subset X\) a \({\mathcal {H}}^n\)measurable set with \({\mathcal {H}}^n(S)<\infty \). Suppose that, for \({\mathcal {H}}^n\)a.e. \(x\in S\), \(\Theta ^n_*(S,x)>0\) and there exists a \(K_x\ge 1\) such that
There exist compact \(C_i\subset S\) with
and, for each \(i\in {\mathbb {N}}\), an \(\eta _i>0\) such that, for each \(x\in C_i\),
and
Further, for each \(i\in {\mathbb {N}}\) and any \(\epsilon >0\), there exists countably many closed \(G_j\subset C_i\) with
such that each \((C_i,G_j)\) satisfies \(GTA(\eta _i,\eta _i^{1},\epsilon ,\min \{\eta _i,1/j\})\).
Proof
For any \(i\in {\mathbb {N}}\), Lemma 2.8 implies that
is \({\mathcal {H}}^n\)measurable. By assumption, the \(S_i\) monotonically increase to almost all of S as \(i\rightarrow \infty \).
Fix \(i\in {\mathbb {N}}\). For \(j\in {\mathbb {N}}\), let
If \(x\in S_i\) satisfies (109), Lemma 5.6 implies that every \((\nu ,y)\in {\text {Tan}}({\mathcal {H}}^n\vert _S,x)\) is \(4^{n+1} i\)doubling with \(1\le \nu (B(y,1))\le 4^{n+1}i\). Therefore, if \(\max \{K_x,4^{n+1}i\}\le j\) then \(x\in S_i^j\) and so \({\mathcal {H}}^n(S\setminus \cup _{i,j} S_i^j)=0\). Lemma 6.1 implies that \({\mathcal {K}}(j,j)\) is compact and so Lemma 5.4 implies each \(S_i^j\) is \({\mathcal {H}}^s\)measurable. Consequently, each can be decomposed as a countable union of compact sets (up to a set of measure zero). Reindexing completes the proof of the first decomposition.
Now fix \(i\in {\mathbb {N}}\) and let \(C=C_i\) and \(\eta =\eta _i\). Since \({\mathcal {H}}^n(C)<\infty \), Lemma 2.3 implies \(\Theta ^{*,n}(C,x)\le 1\) for \({\mathcal {H}}^n\)a.e. \(x\in C\) and since \({\mathcal {H}}^n(S\setminus C)<\infty \), \(\Theta ^{n}_*(C,x) \ge \eta \) for \({\mathcal {H}}^n\)a.e. \(x\in C\). Thus \({\mathcal {H}}^n\vert _{C}\) is asymptotically doubling. Therefore, by Corollary 5.7, Theorem 2.10 and Eq. (117),
For any \(\epsilon >0\) the sets
defined in Lemma 5.4 are closed and \(\cup _j C_{j,\epsilon }\) contains C. For any \(j\in {\mathbb {N}}\), any \(x\in C_{j,\epsilon }\) and any \(0<r<1/j\), let \((\nu ,y)\in {\mathcal {K}}(\eta ^{1},\eta ^{1})\) with
Apply Theorem 4.11 to obtain a \(K\subset C \cap B(x,r/2\epsilon )\) and \(K_\nu \subset B(y,1/2\epsilon )\) with
and
Note that (114) implies \((Y,\nu )\) is \(2\eta ^{1}\)doubling. Equation (119) allows us to apply Lemma 4.17 with \(k=\log _2 2\eta ^{1}\), \(R=\epsilon ^{\frac{1}{2k}}\) and \(\delta =1\) to obtain
The triangle inequality and (120) then give
In particular,
Also, Eqs. (116) and (119) imply
That is, \(C_{j,\epsilon }\) satisfies \(GTA(\eta ,\eta ^{1},\epsilon ^*,\min \{\eta ,1/j\})\), for some \(\epsilon ^*\) depending upon \(\eta \) such that \(\epsilon ^*\rightarrow 0\) as \(\epsilon \rightarrow 0\). Since \(\epsilon >0\) was arbitrary, setting \(G_j=C_{1/j,\epsilon '}\) for each \(j\in {\mathbb {N}}\) and appropriate \(\epsilon '\) completes the proof. \(\square \)
To prove that (3) implies (1) in Theorem 1.2 we require the following result [13, Theorem 1.1]. It concerns the set of all 1Lipschitz functions \(f:X \rightarrow \ell _2^n\), equipped with the supremum norm.
Theorem 6.3
Let X be a complete metric space and \(m\in {\mathbb {N}}\). Suppose that \(S\subset X\) is purely nunrectifiable with \({\mathcal {H}}^n(S)<\infty \) and satisfies \(\Theta _{*}^n(S,x)>0\) for \({\mathcal {H}}^n\)a.e. \(x\in S\). The set of all 1Lipschitz \(f :X \rightarrow \ell _2^m\) with \({\mathcal {H}}^n(f(S)) = 0\) is residual and hence dense.
Corollary 6.4
Let X be a complete metric space and let \(S\subset X\) be \({\mathcal {H}}^n\)measurable with \({\mathcal {H}}^n(S)<\infty \) and \(\Theta _{*}^n(S,x)>0\) for \({\mathcal {H}}^n\)a.e. \(x\in S\). For \(L\ge 1\) and \(\delta >0\) suppose that

1.
\(\iota :[0,r]^n \rightarrow X\) is continuous with
$$\begin{aligned} {\mathcal {H}}^n_{\infty }(\iota ([0,r]^n) \setminus S) < {\mathcal {H}}^n([\delta r,(1\delta )r]^n)/L. \end{aligned}$$ 
2.
\(f :\iota ([0,r]^n) \rightarrow [0,r]^n\subset \ell _2^n\) is LLipschitz with
$$\begin{aligned} \Vert f(\iota (x))x\Vert _2 < \delta r \quad \forall x\in \partial [0,r]^n. \end{aligned}$$
Then S is not purely nunrectifiable.
Proof
Suppose that S is purely nunrectifiable and let \(\epsilon >0\) be such that
Let \(g:\iota ([0,r]^n) \rightarrow \ell _2^n\) be given by Theorem 6.3 such that

g is LLipschitz;

\(\Vert fg\Vert _\infty <\epsilon r\);

\({\mathcal {H}}^n(g(S))=0\).
In particular,
and, since \({\mathcal {H}}^n_\infty ={\mathcal {H}}^n\) in \(\ell _2^n\),
Note that (121) implies that
(this is a consequence of Brouwer’s fixed point theorem; See [13, Lemma 7.1] for a proof involving the unit ball). Consequently,
contradicting (122) \(\square \)
Recall the definition of \({\text {biLip}}(K)^*\) preceding Proposition 6.2.
Theorem 6.5
Let (X, d) be a complete metric space, \(n\in {\mathbb {N}}\) and \(E\subset X\) a \({\mathcal {H}}^n\)measurable set with \({\mathcal {H}}^n(E)<\infty \). Suppose that, for \({\mathcal {H}}^n\)a.e. \(x\in E\), \(\Theta ^n_*(E,x)>0\) and there exists a \(K_x\ge 1\) such that
Then E is nrectifiable.
Proof
By the Kuratowski embedding, we may identify X with an isometric copy contained in \(\ell _\infty \).
Suppose that E is not nrectifiable. Then by Lemma 2.2 there exists a compact purely nunrectifiable \(S\subset E\) with \( {\mathcal {H}}^n(S)>0\). By Lemma 2.3, \(\Theta _*^n(S,x)>0\) for \({\mathcal {H}}^n\)a.e. \(x\in S\). In particular, \({\mathcal {H}}^n\vert _S\) is asymptotically doubling and so by Corollary 5.7,
for \({\mathcal {H}}^n\)a.e. \(x\in S\). Then S satisfies the hypotheses of Proposition 6.2. Since \({\mathcal {H}}^n(S)>0\), Proposition 6.2 implies the existence of a compact \(C\subset S\) with \({\mathcal {H}}^n(C)>0\) and a \(0<\eta <1\) such that, for any \(\epsilon >0\), there exist countably many compact \(G_j\subset C\) with \({\mathcal {H}}^n(C\setminus G_j)=0\) such that each \((C,G_j)\) satisfies \(GTA(\eta ,\eta ^{1},\epsilon ,\min \{\eta ,1/j\})\).
Fix \(0<\gamma <1\) and \(0<\delta <\eta /4\sqrt{n}\) and let \(m_0\in {\mathbb {N}}\) be given by Theorem 3.4 for these parameters and \(K=\eta ^{1}\). Let \(m\ge m_0\) be such that
and set \(\epsilon =4^{m}\). Since \({\mathcal {H}}^n(C)>0\), there exists \(j\in {\mathbb {N}}\) for which \(G_j\) obtained in the previous paragraph satisfies \({\mathcal {H}}^n(G_j)>0\). Set \(G=G_j\) and \(R_0=\min \{\eta ,1/j\}\), so that (C, G) satisfies \(GTA(\eta ,\eta ^{1},4^{m},R_0)\). Let \(\Lambda >0\) be obtained from Theorem 3.16. Fix x a density point of G with \(\Theta ^{*,n}(X,x)\le 1\) and let \(0<r<R_0\) be such that
Then Theorem 3.4 gives an \(\iota :[0,r]^n \subset \ell _\infty ^n \rightarrow B(x, 20\eta ^{1}r) \subset \ell _\infty \) satisfying Theorem 3.4 items 1 to 3.
Since \(\iota \vert _{{\mathcal {D}}(r,m)}^{1}\) is \(2\eta ^{1}\)Lipschitz and takes values in \([0,r]^n\), an application of the second conclusion of Theorem 2.6 extends it to a \(\sqrt{n}2\eta ^{1}\)Lipschitz map \(f:\iota ([0,r]^n) \rightarrow [0,r]^n\subset \ell _2^n\). By Theorem 3.4 item 2, for any \(p,q\in [0,r]^n\) with \(\Vert pq\Vert _\infty \le 2^mr\) we have
In particular, for any \(p\in [0,r]^n\), pick \(q\in {\mathcal {D}}(r,m)\) with \(\Vert pq\Vert _\infty \le 2^{m}r\). Then
by (124). Thus, f satisfies Corollary 6.4 item 2.
Combining Theorem 3.4 item 3 and (125) implies that f satisfies Corollary 6.4 item 1. An application of Corollary 6.4 shows that S is not purely nunrectifiable, a contradiction. \(\square \)
Finally we prove that (1) implies (2) in Theorem 1.2.
Theorem 6.6
Let (X, d) be a complete metric space, \(n\in {\mathbb {N}}\) and \(E\subset X\) an nrectifiable set with \({\mathcal {H}}^n(E)<\infty \). For any \(x\in E\) that satisfies the conclusion of Theorem 2.4 and Lemma 2.3 item 1,
as \(r\rightarrow 0\). In particular, for \({\mathcal {H}}^n\)a.e. \(x\in E\),
Proof
Let \(x\in E\) be as in the hypotheses and \(f_x,\Vert \cdot \Vert _x,C_x\) as in the conclusion of Theorem 2.4. For each \(r>0\), let
so that \(\epsilon _r\rightarrow 0\) as \(r\rightarrow 0\). Also let \(f_r=f_x/r\) and
First note that, for any \(y,z\in C_r\) with \(d(y,z)/r \le \min \{r^{1/2},\epsilon _r^{1/2}\}\),
Now observe that \(f_r:(C_r,d/r)\rightarrow ({\mathbb {R}}^n,\Vert \cdot \Vert _x)\) is \(L_r\)biLipschitz, for
Therefore
where \({\mathcal {H}}^n_r\) denotes \({\mathcal {H}}^n\) on the metric space \((C_r,d/r)\) and \({\mathcal {H}}^n_x\) denotes \({\mathcal {H}}^n\) on \(({\mathbb {R}}^n,\Vert \cdot \Vert _x)\). However,
where \({\mathcal {H}}^n_d\) denotes \({\mathcal {H}}^n\) on (X, d). Also observe, for any \(R>0\), by lemma 2.5 and Eq. (9).
Let \(\Vert \cdot \Vert _{\mathcal {M}}\) denote the total variation of elements of \({\mathcal {M}}((B(0,R),\Vert \cdot \Vert _x))\). Then Eqs. (128) and (129) imply
That is,
Equation (130) has two consequences. Firstly, it shows that, for any \(R,\delta >0\),
for sufficiently small \(r>0\). Together with (127), this shows that there exist \(\epsilon '_r\rightarrow 0\) such that
Equation (130) also implies that
Corollary 4.4 and Eqs. (131) and (132) then imply
and so Eq. (9) and theorem 4.11 imply (126). \(\square \)
Theorems 6.5 and 6.6 and Eq. (7) complete the proof of Theorem 1.2. To prove Theorem 1.1, note that, by the translation and scale invariance of \({\mathbb {R}}^n\), one can replace (3) by
and obtain an equivalent hypothesis. Equations (2) and (133) imply (123) (by using Theorem 4.11) and so Theorem 6.5 implies Theorem 1.1.
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Acknowledgements
This work was supported by the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 948021). I would like to thank the referee for a careful reading and many helpful comments that improved the exposition.
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Bate, D. Characterising rectifiable metric spaces using tangent spaces. Invent. math. 230, 995–1070 (2022). https://doi.org/10.1007/s00222022011367
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DOI: https://doi.org/10.1007/s00222022011367